-----------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/ KimPelc_PoP
> _log.log
  log type:  text
 opened on:   7 Dec 2023, 20:48:25

. do "/var/folders/bc/1b3ytrvs72l4kkkjpggfz82r0000gn/T//SD26037.000000"

. ********************************************************************
. ******** "Does Political Diversity Inhibit Blood Donations?" *******
. ********************************************************************
. 
. use "KimPelc_Blood_PoP.dta", clear
(Written by R.              )

. 
. ***********************************************
. ******** Tables 1-2 and Figures 1-2, 4 ********
. ***********************************************
. 
. * Table 1: Social Diversity and Blood Donation
. 
. eststo clear

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state , cluster(state) 

Linear regression                               Number of obs     =    276,951
                                                F(17, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0241
                                                Root MSE          =     .33442

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |    -.00921   .0011154    -8.26   0.000    -.0114503   -.0069696
      st_mean_ideo5_3 |   .1012104   .0087503    11.57   0.000     .0836348     .118786
             fb_share |  -.0414739   .0151054    -2.75   0.008    -.0718139   -.0111339
                  age |  -.0024328   .0000954   -25.51   0.000    -.0026244   -.0022413
               female |  -.0343427   .0016988   -20.22   0.000    -.0377549   -.0309306
              college |   .0724056   .0039331    18.41   0.000     .0645058    .0803054
                   hs |   .0434246   .0039148    11.09   0.000     .0355615    .0512877
          citizen_dum |   .0364554   .0059014     6.18   0.000     .0246021    .0483087
          income_100k |   .0291534   .0021739    13.41   0.000      .024787    .0335198
           income_50k |   .0270914   .0022095    12.26   0.000     .0226536    .0315293
                white |  -.0218289   .0039708    -5.50   0.000    -.0298044   -.0138534
                black |  -.0537418   .0044673   -12.03   0.000    -.0627147    -.044769
        race_hispanic |  -.0013664   .0047267    -0.29   0.774    -.0108602    .0081274
                asian |  -.0313938   .0057381    -5.47   0.000    -.0429191   -.0198686
nohealthinsurance_dum |  -.0246238   .0030502    -8.07   0.000    -.0307502   -.0184974
            log_blood |   .0017474   .0015493     1.13   0.265    -.0013644    .0048593
L1_firearm_death_rate |  -.0006483   .0008922    -0.73   0.471    -.0024403    .0011438
    incarcerated_rate |   .0443919   .0548719     0.81   0.422    -.0658216    .1546053
                      |
                state |
                   2  |   -.021944   .0016916   -12.97   0.000    -.0253416   -.0185463
                   4  |   -.009377   .0021995    -4.26   0.000    -.0137947   -.0049592
                   5  |  -.0134826   .0014304    -9.43   0.000    -.0163556   -.0106095
                   6  |   .0364792   .0055739     6.54   0.000     .0252837    .0476746
                   8  |  -.0060442   .0025289    -2.39   0.021    -.0111237   -.0009646
                   9  |   .0172266   .0043429     3.97   0.000     .0085038    .0259495
                  10  |   .0527461   .0028825    18.30   0.000     .0469565    .0585357
                  11  |   .0393002   .0094662     4.15   0.000     .0202868    .0583137
                  12  |   .0344585    .002715    12.69   0.000     .0290053    .0399117
                  13  |   .0162232   .0020609     7.87   0.000     .0120837    .0203627
                  15  |   .0100212   .0049222     2.04   0.047     .0001346    .0199079
                  16  |   -.011261    .001433    -7.86   0.000    -.0141394   -.0083827
                  17  |   .0311385   .0035717     8.72   0.000     .0239646    .0383124
                  18  |   .0066057     .00168     3.93   0.000     .0032313    .0099801
                  19  |   .0186518   .0023436     7.96   0.000     .0139445     .023359
                  20  |   .0116015   .0018737     6.19   0.000      .007838     .015365
                  21  |  -.0026874   .0016574    -1.62   0.111    -.0060164    .0006416
                  22  |   .0094905   .0009007    10.54   0.000     .0076814    .0112996
                  23  |   .0102416   .0034132     3.00   0.004     .0033861    .0170971
                  24  |   .0157255   .0041795     3.76   0.000     .0073308    .0241201
                  25  |   .0345465    .005412     6.38   0.000     .0236762    .0454169
                  26  |   .0096904   .0029554     3.28   0.002     .0037544    .0156264
                  27  |   .0285587   .0032491     8.79   0.000     .0220328    .0350846
                  28  |   .0099358   .0007536    13.19   0.000     .0084222    .0114494
                  29  |   .0064102   .0013295     4.82   0.000     .0037399    .0090806
                  30  |  -.0039072   .0019389    -2.02   0.049    -.0078014   -.0000129
                  31  |   .0212851   .0015427    13.80   0.000     .0181865    .0243837
                  32  |   .0165127   .0037031     4.46   0.000     .0090748    .0239505
                  33  |   .0128769   .0034826     3.70   0.001     .0058819    .0198718
                  34  |   .0168896    .004336     3.90   0.000     .0081805    .0255987
                  35  |    .000357   .0032865     0.11   0.914     -.006244    .0069581
                  36  |   .0363143   .0050578     7.18   0.000     .0261555    .0464731
                  37  |   .0115895   .0021998     5.27   0.000     .0071711     .016008
                  38  |   .0126435   .0019268     6.56   0.000     .0087735    .0165136
                  39  |   .0038589     .00225     1.72   0.093    -.0006604    .0083783
                  40  |  -.0140581   .0006483   -21.68   0.000    -.0153603    -.012756
                  41  |   .0228834   .0046156     4.96   0.000     .0136127    .0321541
                  42  |    .002437   .0021493     1.13   0.262      -.00188    .0067541
                  44  |   .0557075   .0048447    11.50   0.000     .0459767    .0654383
                  45  |   .0093781   .0011482     8.17   0.000     .0070719    .0116843
                  46  |   .0161101   .0012777    12.61   0.000     .0135437    .0186764
                  47  |  -.0046303   .0011073    -4.18   0.000    -.0068544   -.0024061
                  48  |   .0055855    .001995     2.80   0.007     .0015784    .0095927
                  49  |   .0164828   .0017303     9.53   0.000     .0130074    .0199582
                  50  |   .0617427   .0061863     9.98   0.000     .0493171    .0741682
                  51  |   .0119275   .0029782     4.00   0.000     .0059455    .0179095
                  53  |   .0256238   .0042368     6.05   0.000     .0171139    .0341336
                  54  |  -.0294934   .0018139   -16.26   0.000    -.0331366   -.0258502
                  55  |   .0111384   .0021342     5.22   0.000     .0068518    .0154251
                  56  |  -.0237449   .0016151   -14.70   0.000    -.0269889   -.0205008
                      |
                _cons |  -.1211006   .0338607    -3.58   0.001    -.1891117   -.0530894
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state , cluster(state) 

Linear regression                               Number of obs     =    276,951
                                                F(18, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0242
                                                Root MSE          =     .33441

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0090261   .0011005    -8.20   0.000    -.0112366   -.0068157
              ideo5_3 |   .0028119   .0006445     4.36   0.000     .0015174    .0041063
      st_mean_ideo5_3 |    .098778   .0086249    11.45   0.000     .0814543    .1161017
             fb_share |  -.0407296   .0150279    -2.71   0.009    -.0709141   -.0105451
                  age |  -.0024624   .0000969   -25.40   0.000    -.0026571   -.0022677
               female |  -.0337904   .0017224   -19.62   0.000      -.03725   -.0303308
              college |   .0734042   .0040032    18.34   0.000     .0653634    .0814449
                   hs |   .0436028    .003938    11.07   0.000     .0356932    .0515124
          citizen_dum |   .0361721   .0058982     6.13   0.000     .0243252     .048019
          income_100k |   .0286928   .0021944    13.08   0.000     .0242851    .0331005
           income_50k |   .0268163   .0022104    12.13   0.000     .0223767    .0312559
                white |   -.021658   .0039906    -5.43   0.000    -.0296734   -.0136426
                black |  -.0526467   .0045036   -11.69   0.000    -.0616924   -.0436009
        race_hispanic |  -.0009619   .0046813    -0.21   0.838    -.0103645    .0084408
                asian |  -.0312364   .0057318    -5.45   0.000    -.0427489   -.0197238
nohealthinsurance_dum |  -.0246089   .0030433    -8.09   0.000    -.0307216   -.0184963
            log_blood |   .0020682     .00156     1.33   0.191    -.0010652    .0052016
L1_firearm_death_rate |  -.0006181   .0008934    -0.69   0.492    -.0024126    .0011763
    incarcerated_rate |    .042107   .0548349     0.77   0.446    -.0680322    .1522461
                      |
                state |
                   2  |   -.021467   .0017163   -12.51   0.000    -.0249143   -.0180197
                   4  |  -.0089883   .0022115    -4.06   0.000    -.0134303   -.0045463
                   5  |   -.013094   .0014459    -9.06   0.000    -.0159981   -.0101899
                   6  |   .0365479   .0055577     6.58   0.000     .0253849    .0477109
                   8  |  -.0058089   .0025425    -2.28   0.027    -.0109157    -.000702
                   9  |   .0176853   .0043536     4.06   0.000     .0089409    .0264296
                  10  |   .0531132   .0029023    18.30   0.000     .0472837    .0589428
                  11  |    .038755   .0094282     4.11   0.000     .0198179    .0576922
                  12  |   .0345687   .0027117    12.75   0.000      .029122    .0400153
                  13  |   .0162109   .0020573     7.88   0.000     .0120786    .0203432
                  15  |   .0105716    .004949     2.14   0.038     .0006313    .0205119
                  16  |  -.0107166   .0014487    -7.40   0.000    -.0136264   -.0078068
                  17  |   .0310641   .0035697     8.70   0.000     .0238941    .0382341
                  18  |   .0069658   .0017006     4.10   0.000       .00355    .0103815
                  19  |    .019131   .0023691     8.08   0.000     .0143725    .0238894
                  20  |   .0120679   .0019009     6.35   0.000     .0082498    .0158861
                  21  |  -.0022935   .0016781    -1.37   0.178     -.005664    .0010771
                  22  |   .0095445   .0009016    10.59   0.000     .0077335    .0113555
                  23  |   .0109896   .0034564     3.18   0.003     .0040473     .017932
                  24  |   .0157139   .0041692     3.77   0.000     .0073397    .0240881
                  25  |   .0347864   .0054142     6.43   0.000     .0239117    .0456611
                  26  |   .0100741   .0029743     3.39   0.001     .0041001    .0160482
                  27  |   .0288237    .003265     8.83   0.000     .0222659    .0353816
                  28  |   .0100337   .0007573    13.25   0.000     .0085127    .0115547
                  29  |   .0066699   .0013487     4.95   0.000     .0039608    .0093789
                  30  |  -.0032078   .0019854    -1.62   0.112    -.0071955    .0007799
                  31  |   .0215963   .0015578    13.86   0.000     .0184675    .0247252
                  32  |   .0168825   .0037078     4.55   0.000     .0094351    .0243299
                  33  |   .0136571   .0035245     3.87   0.000      .006578    .0207362
                  34  |   .0168935   .0043242     3.91   0.000     .0082081     .025579
                  35  |   .0008645   .0033156     0.26   0.795    -.0057951    .0075242
                  36  |   .0363268   .0050492     7.19   0.000     .0261851    .0464685
                  37  |   .0117962   .0022078     5.34   0.000     .0073618    .0162307
                  38  |   .0132507   .0019562     6.77   0.000     .0093216    .0171797
                  39  |   .0042551   .0022727     1.87   0.067    -.0003096    .0088199
                  40  |  -.0138106   .0006521   -21.18   0.000    -.0151204   -.0125009
                  41  |   .0234541   .0046452     5.05   0.000      .014124    .0327842
                  42  |   .0027319   .0021674     1.26   0.213    -.0016214    .0070852
                  44  |   .0560507   .0048563    11.54   0.000     .0462965    .0658049
                  45  |     .00958   .0011563     8.28   0.000     .0072575    .0119025
                  46  |   .0165856   .0012877    12.88   0.000     .0139991    .0191721
                  47  |  -.0043593   .0011203    -3.89   0.000    -.0066095   -.0021091
                  48  |   .0055193   .0019913     2.77   0.008     .0015198    .0095189
                  49  |   .0167501   .0017377     9.64   0.000     .0132597    .0202404
                  50  |   .0625165   .0062259    10.04   0.000     .0500114    .0750216
                  51  |   .0120257   .0029728     4.05   0.000     .0060547    .0179967
                  53  |   .0259954   .0042506     6.12   0.000     .0174578    .0345331
                  54  |  -.0288296    .001847   -15.61   0.000    -.0325395   -.0251197
                  55  |   .0115542   .0021575     5.36   0.000     .0072208    .0158877
                  56  |  -.0231168   .0016318   -14.17   0.000    -.0263944   -.0198391
                      |
                _cons |  -.1221675   .0338889    -3.60   0.001    -.1902353   -.0540997
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year, cluster(state) 

Linear regression                               Number of obs     =    276,951
                                                F(22, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =     .33429

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0088797   .0011121    -7.98   0.000    -.0111135    -.006646
      st_mean_ideo5_3 |    .007114   .0146719     0.48   0.630    -.0223554    .0365833
             fb_share |  -.0431171   .0150756    -2.86   0.006    -.0733972    -.012837
                  age |  -.0024144   .0000951   -25.39   0.000    -.0026054   -.0022234
               female |  -.0341836   .0017065   -20.03   0.000    -.0376112   -.0307561
              college |   .0726383   .0039357    18.46   0.000     .0647333    .0805432
                   hs |    .043542   .0038967    11.17   0.000     .0357152    .0513689
          citizen_dum |   .0372508   .0059577     6.25   0.000     .0252845    .0492172
          income_100k |   .0296696   .0021512    13.79   0.000     .0253489    .0339904
           income_50k |   .0272582   .0022249    12.25   0.000     .0227894    .0317271
                white |  -.0222084   .0039699    -5.59   0.000    -.0301821   -.0142346
                black |   -.053935   .0044732   -12.06   0.000    -.0629197   -.0449503
        race_hispanic |  -.0011293   .0047776    -0.24   0.814    -.0107254    .0084668
                asian |  -.0311353   .0058109    -5.36   0.000    -.0428068   -.0194638
nohealthinsurance_dum |   -.024205   .0030076    -8.05   0.000     -.030246    -.018164
            log_blood |    .001741   .0015494     1.12   0.267    -.0013712    .0048531
L1_firearm_death_rate |  -.0006279   .0008355    -0.75   0.456    -.0023061    .0010503
    incarcerated_rate |   .0438416   .0548271     0.80   0.428    -.0662819     .153965
                      |
                state |
                   2  |  -.0299638   .0016927   -17.70   0.000    -.0333637   -.0265639
                   4  |   -.020751   .0020992    -9.89   0.000    -.0249673   -.0165346
                   5  |  -.0158608   .0013338   -11.89   0.000    -.0185397   -.0131818
                   6  |  -.0051255   .0064427    -0.80   0.430     -.018066     .007815
                   8  |  -.0291512   .0036449    -8.00   0.000    -.0364722   -.0218303
                   9  |  -.0188015   .0055673    -3.38   0.001    -.0299838   -.0076192
                  10  |   .0246634   .0043971     5.61   0.000     .0158315    .0334952
                  11  |  -.0493519   .0138698    -3.56   0.001    -.0772103   -.0214935
                  12  |   .0165431   .0029087     5.69   0.000     .0107009    .0223853
                  13  |     .00268   .0022456     1.19   0.238    -.0018305    .0071904
                  15  |  -.0272307   .0062997    -4.32   0.000     -.039884   -.0145775
                  16  |  -.0062815   .0017917    -3.51   0.001    -.0098803   -.0026828
                  17  |  -.0044407    .005611    -0.79   0.432    -.0157108    .0068294
                  18  |  -.0065532   .0021293    -3.08   0.003    -.0108301   -.0022764
                  19  |  -.0009205   .0032145    -0.29   0.776    -.0073769    .0055359
                  20  |  -.0018529   .0023447    -0.79   0.433    -.0065623    .0028565
                  21  |  -.0131993   .0019473    -6.78   0.000    -.0171106    -.009288
                  22  |   .0111767   .0008591    13.01   0.000     .0094511    .0129023
                  23  |  -.0174736   .0046013    -3.80   0.000    -.0267157   -.0082316
                  24  |  -.0210647    .005711    -3.69   0.001    -.0325356   -.0095938
                  25  |  -.0166006   .0078569    -2.11   0.040    -.0323818   -.0008195
                  26  |  -.0170802   .0042314    -4.04   0.000    -.0255793   -.0085811
                  27  |  -.0055956     .00539    -1.04   0.304    -.0164217    .0052305
                  28  |   .0105685   .0007837    13.49   0.000     .0089944    .0121425
                  29  |  -.0059894   .0021244    -2.82   0.007    -.0102564   -.0017223
                  30  |  -.0139943   .0021344    -6.56   0.000    -.0182813   -.0097073
                  31  |   .0113394   .0017076     6.64   0.000     .0079095    .0147692
                  32  |  -.0062948   .0037567    -1.68   0.100    -.0138404    .0012509
                  33  |  -.0149572   .0046321    -3.23   0.002    -.0242611   -.0056533
                  34  |  -.0180275   .0054528    -3.31   0.002    -.0289796   -.0070753
                  35  |  -.0265282   .0043054    -6.16   0.000    -.0351759   -.0178805
                  36  |  -.0068365   .0066481    -1.03   0.309    -.0201896    .0065166
                  37  |  -.0044582   .0025982    -1.72   0.092    -.0096768    .0007605
                  38  |   .0066246   .0018364     3.61   0.001     .0029361    .0103131
                  39  |  -.0171487   .0033937    -5.05   0.000    -.0239653   -.0103322
                  40  |  -.0140246   .0006614   -21.20   0.000     -.015353   -.0126961
                  41  |  -.0198108   .0065736    -3.01   0.004    -.0330143   -.0066072
                  42  |  -.0181719   .0032947    -5.52   0.000    -.0247894   -.0115543
                  44  |   .0072087   .0075228     0.96   0.343    -.0079012    .0223186
                  45  |   .0075885   .0010577     7.17   0.000     .0054641    .0097129
                  46  |   .0220803   .0015712    14.05   0.000     .0189244    .0252362
                  47  |   -.006235   .0010313    -6.05   0.000    -.0083065   -.0041635
                  48  |  -.0033271   .0018685    -1.78   0.081    -.0070801    .0004259
                  49  |    .012281   .0015391     7.98   0.000     .0091896    .0153724
                  50  |   .0032426   .0092642     0.35   0.728    -.0153651    .0218502
                  51  |  -.0115624   .0035916    -3.22   0.002    -.0187762   -.0043485
                  53  |  -.0132252   .0059699    -2.22   0.031     -.025216   -.0012343
                  54  |  -.0342463   .0016976   -20.17   0.000    -.0376561   -.0308365
                  55  |  -.0111796    .003431    -3.26   0.002    -.0180709   -.0042882
                  56  |  -.0158203   .0021149    -7.48   0.000    -.0200682   -.0115724
                      |
                 year |
                2012  |  -.0072759   .0031275    -2.33   0.024    -.0135577   -.0009941
                2014  |  -.0088326   .0040646    -2.17   0.035    -.0169965   -.0006687
                2016  |   -.015815   .0054603    -2.90   0.006    -.0267825   -.0048476
                2018  |  -.0152828   .0058777    -2.60   0.012    -.0270884   -.0034772
                2020  |   -.045705   .0065532    -6.97   0.000    -.0588675   -.0325425
                      |
                _cons |   .2057523   .0532032     3.87   0.000     .0988905    .3126141
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year, cluster(state) 

Linear regression                               Number of obs     =    276,951
                                                F(23, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0250
                                                Root MSE          =     .33428

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0086968   .0010974    -7.92   0.000    -.0109009   -.0064926
              ideo5_3 |   .0027929   .0006463     4.32   0.000     .0014947    .0040911
      st_mean_ideo5_3 |   .0046296   .0145752     0.32   0.752    -.0246455    .0339048
             fb_share |  -.0423666   .0149982    -2.82   0.007    -.0724914   -.0122419
                  age |  -.0024439   .0000967   -25.27   0.000    -.0026381   -.0022496
               female |   -.033635   .0017293   -19.45   0.000    -.0371084   -.0301616
              college |   .0736302   .0040021    18.40   0.000     .0655918    .0816687
                   hs |   .0437184   .0039187    11.16   0.000     .0358476    .0515893
          citizen_dum |   .0369692    .005954     6.21   0.000     .0250102    .0489282
          income_100k |   .0292123   .0021708    13.46   0.000     .0248521    .0335725
           income_50k |   .0269853   .0022252    12.13   0.000     .0225159    .0314547
                white |  -.0220384   .0039898    -5.52   0.000    -.0300521   -.0140246
                black |  -.0528464   .0045111   -11.71   0.000    -.0619072   -.0437856
        race_hispanic |  -.0007267   .0047328    -0.15   0.879    -.0102329    .0087795
                asian |  -.0309779    .005804    -5.34   0.000    -.0426356   -.0193203
nohealthinsurance_dum |  -.0241935   .0030012    -8.06   0.000    -.0302216   -.0181654
            log_blood |    .002059   .0015601     1.32   0.193    -.0010746    .0051926
L1_firearm_death_rate |  -.0005974   .0008368    -0.71   0.479    -.0022782    .0010833
    incarcerated_rate |   .0415765   .0547981     0.76   0.452    -.0684888    .1516418
                      |
                state |
                   2  |  -.0294971   .0017156   -17.19   0.000     -.032943   -.0260512
                   4  |  -.0203735   .0021169    -9.62   0.000    -.0246254   -.0161216
                   5  |  -.0154761   .0013471   -11.49   0.000    -.0181819   -.0127704
                   6  |   -.005089   .0064451    -0.79   0.433    -.0180344    .0078564
                   8  |  -.0289345   .0036537    -7.92   0.000    -.0362732   -.0215959
                   9  |  -.0183724   .0055787    -3.29   0.002    -.0295776   -.0071673
                  10  |   .0250068   .0044081     5.67   0.000     .0161529    .0338607
                  11  |  -.0499589   .0138557    -3.61   0.001    -.0777889   -.0221289
                  12  |   .0166397   .0029178     5.70   0.000     .0107791    .0225003
                  13  |   .0026582    .002248     1.18   0.243     -.001857    .0071734
                  15  |   -.026713    .006322    -4.23   0.000    -.0394112   -.0140148
                  16  |  -.0057389   .0018036    -3.18   0.003    -.0093615   -.0021163
                  17  |  -.0045391    .005615    -0.81   0.423    -.0158173     .006739
                  18  |   -.006204   .0021404    -2.90   0.006     -.010503   -.0019049
                  19  |  -.0004595   .0032252    -0.14   0.887    -.0069374    .0060185
                  20  |  -.0014016   .0023603    -0.59   0.555    -.0061424    .0033391
                  21  |  -.0128162    .001958    -6.55   0.000    -.0167491   -.0088834
                  22  |   .0112326   .0008604    13.06   0.000     .0095045    .0129606
                  23  |  -.0167526   .0046217    -3.62   0.001    -.0260357   -.0074696
                  24  |  -.0211042   .0057122    -3.69   0.001    -.0325776   -.0096309
                  25  |  -.0164006   .0078616    -2.09   0.042     -.032191   -.0006102
                  26  |  -.0167183   .0042386    -3.94   0.000    -.0252318   -.0082048
                  27  |  -.0053574   .0053936    -0.99   0.325    -.0161909     .005476
                  28  |   .0106659    .000787    13.55   0.000     .0090852    .0122466
                  29  |  -.0057391   .0021329    -2.69   0.010    -.0100232    -.001455
                  30  |  -.0133078   .0021694    -6.13   0.000    -.0176652   -.0089504
                  31  |   .0116363   .0017169     6.78   0.000     .0081879    .0150847
                  32  |  -.0059458   .0037704    -1.58   0.121    -.0135189    .0016273
                  33  |  -.0142047   .0046554    -3.05   0.004    -.0235553    -.004854
                  34  |  -.0180505   .0054583    -3.31   0.002    -.0290138   -.0070873
                  35  |  -.0260449   .0043249    -6.02   0.000    -.0347317   -.0173582
                  36  |  -.0068559   .0066519    -1.03   0.308    -.0202167    .0065049
                  37  |  -.0042646   .0026048    -1.64   0.108    -.0094965    .0009672
                  38  |   .0072245   .0018647     3.87   0.000     .0034792    .0109697
                  39  |  -.0167689   .0034016    -4.93   0.000    -.0236012   -.0099366
                  40  |  -.0137792    .000665   -20.72   0.000    -.0151149   -.0124435
                  41  |  -.0192771   .0065853    -2.93   0.005     -.032504   -.0060502
                  42  |   -.017892   .0033022    -5.42   0.000    -.0245246   -.0112594
                  44  |   .0075111    .007529     1.00   0.323    -.0076114    .0226336
                  45  |   .0077861   .0010659     7.30   0.000     .0056452    .0099269
                  46  |   .0225561   .0015802    14.27   0.000     .0193821      .02573
                  47  |  -.0059669   .0010439    -5.72   0.000    -.0080636   -.0038701
                  48  |  -.0033992   .0018723    -1.82   0.075    -.0071599    .0003615
                  49  |   .0125423   .0015474     8.11   0.000     .0094342    .0156504
                  50  |   .0039657   .0092738     0.43   0.671    -.0146614    .0225927
                  51  |  -.0114828   .0035915    -3.20   0.002    -.0186964   -.0042691
                  53  |  -.0128854   .0059801    -2.15   0.036    -.0248967   -.0008741
                  54  |  -.0335897   .0017274   -19.45   0.000    -.0370592   -.0301202
                  55  |  -.0107829   .0034375    -3.14   0.003    -.0176873   -.0038785
                  56  |  -.0151931   .0021272    -7.14   0.000    -.0194657   -.0109206
                      |
                 year |
                2012  |  -.0072255   .0031259    -2.31   0.025    -.0135041   -.0009469
                2014  |  -.0088315    .004057    -2.18   0.034    -.0169801   -.0006828
                2016  |  -.0158269   .0054475    -2.91   0.005    -.0267686   -.0048852
                2018  |  -.0153141    .005866    -2.61   0.012    -.0270963   -.0035319
                2020  |  -.0456981   .0065374    -6.99   0.000    -.0588288   -.0325675
                      |
                _cons |   .2049213   .0531231     3.86   0.000     .0982203    .3116222
---------------------------------------------------------------------------------------
(est4 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state , cluster(czone) 

Linear regression                               Number of obs     =    276,951
                                                F(65, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0234
                                                Root MSE          =     .33455

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0088143   .0009053    -9.74   0.000    -.0105916   -.0070371
      cz_mean_ideo5_3 |   .0378956   .0044245     8.56   0.000     .0292092     .046582
             fb_share |  -.0031715   .0154959    -0.20   0.838    -.0335936    .0272506
                  age |  -.0024133     .00006   -40.19   0.000    -.0025311   -.0022954
               female |  -.0348693   .0016254   -21.45   0.000    -.0380604   -.0316782
              college |   .0739897   .0039046    18.95   0.000      .066324    .0816554
                   hs |   .0443982   .0038873    11.42   0.000     .0367664    .0520299
          citizen_dum |   .0367938   .0065061     5.66   0.000     .0240208    .0495668
          income_100k |   .0295979   .0020171    14.67   0.000     .0256378    .0335579
           income_50k |   .0275337   .0016424    16.76   0.000     .0243093    .0307582
                white |  -.0218902   .0041848    -5.23   0.000    -.0301059   -.0136745
                black |  -.0530069   .0047275   -11.21   0.000    -.0622881   -.0437257
        race_hispanic |  -.0020558   .0049197    -0.42   0.676    -.0117144    .0076028
                asian |  -.0332018   .0059406    -5.59   0.000    -.0448647   -.0215389
nohealthinsurance_dum |  -.0226941   .0025183    -9.01   0.000    -.0276382     -.01775
            log_blood |   .0036576   .0016337     2.24   0.025     .0004503     .006865
L1_firearm_death_rate |   -.000544   .0009324    -0.58   0.560    -.0023746    .0012865
    incarcerated_rate |   .0178433   .0585029     0.30   0.760    -.0970121    .1326987
                      |
                state |
                   2  |  -.0264984   .0089012    -2.98   0.003    -.0439735   -.0090232
                   4  |   -.018855   .0066729    -2.83   0.005    -.0319555   -.0057544
                   5  |  -.0141872   .0084769    -1.67   0.095    -.0308293    .0024549
                   6  |   .0000758   .0072462     0.01   0.992    -.0141503    .0143018
                   8  |  -.0239092   .0108262    -2.21   0.028    -.0451637   -.0026547
                   9  |  -.0095681   .0065159    -1.47   0.142    -.0223604    .0032241
                  10  |   .0301939   .0077293     3.91   0.000     .0150194    .0453685
                  11  |  -.0455775    .006862    -6.64   0.000    -.0590492   -.0321059
                  12  |   .0162709   .0072561     2.24   0.025     .0020254    .0305165
                  13  |   .0047176   .0073145     0.64   0.519    -.0096425    .0190776
                  15  |  -.0195675   .0092809    -2.11   0.035    -.0377881    -.001347
                  16  |  -.0054533   .0135142    -0.40   0.687    -.0319848    .0210783
                  17  |   .0024881   .0072277     0.34   0.731    -.0117017    .0166779
                  18  |  -.0018747   .0088776    -0.21   0.833    -.0193036    .0155542
                  19  |    .006244   .0084303     0.74   0.459    -.0103068    .0227948
                  20  |   .0041452   .0078087     0.53   0.596    -.0111852    .0194756
                  21  |  -.0086198   .0080823    -1.07   0.287    -.0244873    .0072477
                  22  |   .0117637   .0092143     1.28   0.202    -.0063263    .0298536
                  23  |  -.0061773   .0114531    -0.54   0.590    -.0286626    .0163079
                  24  |  -.0131814   .0069441    -1.90   0.058    -.0268144    .0004516
                  25  |  -.0045619   .0067229    -0.68   0.498    -.0177606    .0086367
                  26  |  -.0081157   .0068631    -1.18   0.237    -.0215897    .0053583
                  27  |   .0036354    .008123     0.45   0.655     -.012312    .0195828
                  28  |   .0129978   .0086658     1.50   0.134    -.0040152    .0300108
                  29  |  -.0019767   .0087338    -0.23   0.821    -.0191232    .0151699
                  30  |   -.008883   .0093473    -0.95   0.342    -.0272339    .0094679
                  31  |   .0138625   .0169965     0.82   0.415    -.0195058    .0472307
                  32  |  -.0052096   .0066451    -0.78   0.433    -.0182555    .0078363
                  33  |  -.0039016   .0066591    -0.59   0.558     -.016975    .0091717
                  34  |  -.0136848   .0107692    -1.27   0.204    -.0348273    .0074576
                  35  |  -.0181878   .0093016    -1.96   0.051    -.0364491    .0000735
                  36  |  -.0003764   .0068813    -0.05   0.956    -.0138861    .0131333
                  37  |  -.0004882   .0080393    -0.06   0.952    -.0162713    .0152948
                  38  |   .0109032   .0122767     0.89   0.375    -.0131989    .0350053
                  39  |  -.0097679   .0082533    -1.18   0.237    -.0259712    .0064353
                  40  |  -.0135894   .0080774    -1.68   0.093    -.0294473    .0022685
                  41  |  -.0083173   .0088369    -0.94   0.347    -.0256662    .0090317
                  42  |   -.012562   .0079248    -1.59   0.113    -.0281203    .0029964
                  44  |   .0166835   .0064901     2.57   0.010     .0039418    .0294252
                  45  |    .009149   .0103921     0.88   0.379    -.0112532    .0295512
                  46  |   .0214176    .016093     1.33   0.184    -.0101768    .0530121
                  47  |  -.0062756   .0108345    -0.58   0.563    -.0275464    .0149952
                  48  |  -.0057055   .0071063    -0.80   0.422    -.0196569     .008246
                  49  |   .0131639   .0116404     1.13   0.258     -.009689    .0360167
                  50  |   .0213529   .0144607     1.48   0.140     -.007037    .0497427
                  51  |  -.0057553   .0081265    -0.71   0.479    -.0217097     .010199
                  53  |  -.0030845   .0072495    -0.43   0.671     -.017317    .0111481
                  54  |  -.0299035   .0090643    -3.30   0.001    -.0476988   -.0121081
                  55  |  -.0032206   .0097895    -0.33   0.742    -.0224398    .0159985
                  56  |   -.015724    .014163    -1.11   0.267    -.0435294    .0120814
                      |
                _cons |   .0821572   .0179523     4.58   0.000     .0469124    .1174019
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state , cluster(czone) 

Linear regression                               Number of obs     =    276,951
                                                F(66, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0235
                                                Root MSE          =     .33454

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0086393    .000904    -9.56   0.000    -.0104141   -.0068646
              ideo5_3 |   .0027288   .0007042     3.88   0.000     .0013463    .0041112
      cz_mean_ideo5_3 |   .0355084   .0042928     8.27   0.000     .0270806    .0439362
             fb_share |  -.0051535   .0152912    -0.34   0.736    -.0351738    .0248669
                  age |  -.0024417   .0000613   -39.81   0.000    -.0025622   -.0023213
               female |  -.0343373   .0016435   -20.89   0.000    -.0375639   -.0311107
              college |   .0749059   .0038932    19.24   0.000     .0672626    .0825492
                   hs |   .0445497    .003887    11.46   0.000     .0369186    .0521807
          citizen_dum |   .0365281   .0065047     5.62   0.000     .0237579    .0492983
          income_100k |    .029131   .0020004    14.56   0.000     .0252037    .0330583
           income_50k |   .0272556   .0016433    16.59   0.000     .0240295    .0304818
                white |  -.0217284   .0041921    -5.18   0.000    -.0299585   -.0134982
                black |  -.0519883   .0047739   -10.89   0.000    -.0613606    -.042616
        race_hispanic |  -.0016525   .0049307    -0.34   0.738    -.0113327    .0080276
                asian |  -.0330616   .0059532    -5.55   0.000    -.0447493    -.021374
nohealthinsurance_dum |   -.022674   .0025146    -9.02   0.000    -.0276109   -.0177372
            log_blood |   .0038718   .0016185     2.39   0.017     .0006944    .0070492
L1_firearm_death_rate |  -.0005145   .0009353    -0.55   0.582    -.0023507    .0013216
    incarcerated_rate |   .0171606   .0585578     0.29   0.770    -.0978026    .1321238
                      |
                state |
                   2  |  -.0259867   .0088908    -2.92   0.004    -.0434414   -.0085319
                   4  |   -.018268   .0066791    -2.74   0.006    -.0313806   -.0051554
                   5  |     -.0138   .0084684    -1.63   0.104    -.0304255    .0028256
                   6  |   .0008033   .0072462     0.11   0.912    -.0134228    .0150294
                   8  |  -.0234753   .0108109    -2.17   0.030    -.0446997   -.0022509
                   9  |  -.0088604   .0065206    -1.36   0.175    -.0216618    .0039411
                  10  |   .0308239   .0077658     3.97   0.000     .0155778      .04607
                  11  |  -.0444996    .006882    -6.47   0.000    -.0580106   -.0309886
                  12  |   .0168265   .0072533     2.32   0.021     .0025866    .0310664
                  13  |   .0049062   .0073145     0.67   0.503    -.0094539    .0192662
                  15  |  -.0186473   .0092352    -2.02   0.044    -.0367783   -.0005162
                  16  |  -.0050045   .0134847    -0.37   0.711    -.0314782    .0214692
                  17  |   .0027876   .0072595     0.38   0.701    -.0114646    .0170398
                  18  |  -.0015342   .0088763    -0.17   0.863    -.0189605    .0158921
                  19  |   .0067159   .0084453     0.80   0.427    -.0098642     .023296
                  20  |   .0046109    .007811     0.59   0.555     -.010724    .0199457
                  21  |  -.0082914   .0081004    -1.02   0.306    -.0241946    .0076117
                  22  |   .0118225   .0092344     1.28   0.201    -.0063069     .029952
                  23  |  -.0055221    .011456    -0.48   0.630    -.0280131    .0169688
                  24  |  -.0128706   .0069549    -1.85   0.065    -.0265247    .0007834
                  25  |  -.0039775   .0067363    -0.59   0.555    -.0172025    .0092476
                  26  |  -.0077008   .0068744    -1.12   0.263    -.0211968    .0057952
                  27  |   .0040652   .0081449     0.50   0.618    -.0119253    .0200556
                  28  |   .0129858   .0086584     1.50   0.134    -.0040126    .0299842
                  29  |  -.0016987   .0087205    -0.19   0.846    -.0188191    .0154217
                  30  |  -.0083036   .0093471    -0.89   0.375    -.0266542    .0100471
                  31  |   .0142533   .0170388     0.84   0.403    -.0191979    .0477046
                  32  |  -.0043776    .006644    -0.66   0.510    -.0174213    .0086661
                  33  |  -.0032159   .0066698    -0.48   0.630    -.0163104    .0098785
                  34  |  -.0131776   .0107191    -1.23   0.219    -.0342217    .0078665
                  35  |  -.0175659   .0093297    -1.88   0.060    -.0358823    .0007505
                  36  |   .0001637   .0068899     0.02   0.981    -.0133628    .0136903
                  37  |  -.0001734   .0080599    -0.02   0.983    -.0159969    .0156502
                  38  |   .0113453   .0122661     0.92   0.355    -.0127359    .0354266
                  39  |  -.0093711   .0082623    -1.13   0.257    -.0255921    .0068498
                  40  |     -.0133   .0080657    -1.65   0.100    -.0291349    .0025349
                  41  |  -.0075308   .0088401    -0.85   0.395    -.0248861    .0098244
                  42  |  -.0121846   .0079313    -1.54   0.125    -.0277556    .0033865
                  44  |   .0174993   .0065067     2.69   0.007     .0047251    .0302736
                  45  |   .0092827   .0104009     0.89   0.372    -.0111368    .0297022
                  46  |    .021832   .0161262     1.35   0.176    -.0098277    .0534917
                  47  |   -.005988   .0108469    -0.55   0.581     -.027283    .0153071
                  48  |  -.0053835   .0071027    -0.76   0.449    -.0193279    .0085609
                  49  |   .0135189   .0117169     1.15   0.249    -.0094842    .0365221
                  50  |   .0221904   .0144789     1.53   0.126    -.0062352    .0506161
                  51  |  -.0055181   .0081431    -0.68   0.498     -.021505    .0104688
                  53  |  -.0024762    .007237    -0.34   0.732    -.0166842    .0117319
                  54  |  -.0294255    .009092    -3.24   0.001    -.0472753   -.0115757
                  55  |  -.0028185   .0097478    -0.29   0.773    -.0219558    .0163188
                  56  |  -.0152014    .014179    -1.07   0.284    -.0430382    .0126355
                      |
                _cons |   .0814517   .0179836     4.53   0.000     .0461455    .1167579
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year, cluster(czone) 

Linear regression                               Number of obs     =    276,951
                                                F(70, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =     .33429

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |   -.008737    .000914    -9.56   0.000    -.0105315   -.0069426
      cz_mean_ideo5_3 |   .0062401    .004744     1.32   0.189    -.0030736    .0155538
             fb_share |  -.0353395   .0153791    -2.30   0.022    -.0655324   -.0051466
                  age |  -.0024154   .0000598   -40.39   0.000    -.0025328   -.0022979
               female |  -.0341832   .0016306   -20.96   0.000    -.0373846   -.0309819
              college |    .072671    .003912    18.58   0.000     .0649907    .0803513
                   hs |   .0435531   .0038766    11.23   0.000     .0359423    .0511639
          citizen_dum |    .037267   .0065297     5.71   0.000     .0244477    .0500863
          income_100k |    .029716   .0020178    14.73   0.000     .0257546    .0336775
           income_50k |    .027268   .0016533    16.49   0.000     .0240221    .0305138
                white |  -.0221927   .0041883    -5.30   0.000    -.0304154   -.0139699
                black |  -.0538421   .0047616   -11.31   0.000    -.0631902    -.044494
        race_hispanic |  -.0011288   .0049448    -0.23   0.819    -.0108366     .008579
                asian |  -.0310436   .0059897    -5.18   0.000    -.0428028   -.0192845
nohealthinsurance_dum |  -.0241861   .0025148    -9.62   0.000    -.0291234   -.0192489
            log_blood |   .0020279   .0016162     1.25   0.210    -.0011452     .005201
L1_firearm_death_rate |  -.0006221   .0008602    -0.72   0.470    -.0023109    .0010666
    incarcerated_rate |   .0386162   .0589823     0.65   0.513    -.0771803    .1544127
                      |
                state |
                   2  |    -.03035   .0095559    -3.18   0.002    -.0491105   -.0115895
                   4  |  -.0213044   .0069001    -3.09   0.002     -.034851   -.0077578
                   5  |  -.0160333    .008786    -1.82   0.068    -.0332825    .0012158
                   6  |  -.0073263   .0079104    -0.93   0.355    -.0228563    .0082037
                   8  |   -.029927    .009399    -3.18   0.002    -.0483795   -.0114745
                   9  |  -.0197251   .0069627    -2.83   0.005    -.0333945   -.0060556
                  10  |   .0237858   .0082927     2.87   0.004     .0075052    .0400663
                  11  |  -.0540901    .007254    -7.46   0.000    -.0683314   -.0398487
                  12  |   .0152343    .007492     2.03   0.042     .0005257    .0299429
                  13  |   .0019373   .0072232     0.27   0.789    -.0122436    .0161182
                  15  |  -.0286043   .0112541    -2.54   0.011    -.0506987   -.0065098
                  16  |  -.0060989   .0136132    -0.45   0.654     -.032825    .0206271
                  17  |  -.0056647   .0077791    -0.73   0.467     -.020937    .0096076
                  18  |  -.0065881   .0090515    -0.73   0.467    -.0243584    .0111823
                  19  |  -.0010513   .0088045    -0.12   0.905    -.0183367     .016234
                  20  |  -.0020961   .0080887    -0.26   0.796    -.0179761     .013784
                  21  |  -.0131878   .0084219    -1.57   0.118     -.029722    .0033463
                  22  |   .0111418     .00983     1.13   0.257    -.0081569    .0304404
                  23  |  -.0173666   .0108375    -1.60   0.109    -.0386432    .0039101
                  24  |  -.0221574   .0075365    -2.94   0.003    -.0369535   -.0073614
                  25  |   -.017982   .0071437    -2.52   0.012    -.0320068   -.0039573
                  26  |  -.0172949   .0072335    -2.39   0.017     -.031496   -.0030938
                  27  |  -.0063872   .0088247    -0.72   0.469    -.0237122    .0109378
                  28  |   .0108064    .008656     1.25   0.212    -.0061873    .0278002
                  29  |  -.0062236    .008433    -0.74   0.461    -.0227797    .0103324
                  30  |  -.0140691   .0093649    -1.50   0.133    -.0324547    .0043165
                  31  |   .0107755    .016817     0.64   0.522    -.0222403    .0437913
                  32  |  -.0077383   .0072703    -1.06   0.288    -.0220117    .0065351
                  33  |  -.0149241   .0075255    -1.98   0.048    -.0296985   -.0001498
                  34  |    -.01964   .0101793    -1.93   0.054    -.0396244    .0003444
                  35  |  -.0271506   .0091465    -2.97   0.003    -.0451074   -.0091939
                  36  |  -.0086286   .0071761    -1.20   0.230     -.022717    .0054598
                  37  |  -.0048125   .0083255    -0.58   0.563    -.0211575    .0115325
                  38  |   .0062979   .0124757     0.50   0.614     -.018195    .0307907
                  39  |  -.0172316   .0083889    -2.05   0.040     -.033701   -.0007622
                  40  |  -.0141758   .0084282    -1.68   0.093    -.0307224    .0023708
                  41  |  -.0209828   .0090199    -2.33   0.020    -.0386911   -.0032745
                  42  |    -.01842   .0079645    -2.31   0.021    -.0340563   -.0027837
                  44  |   .0054486   .0068962     0.79   0.430    -.0080902    .0189875
                  45  |   .0077703   .0117646     0.66   0.509    -.0153264     .030867
                  46  |   .0218752   .0167809     1.30   0.193    -.0110698    .0548202
                  47  |  -.0063673   .0116503    -0.55   0.585    -.0292396    .0165051
                  48  |  -.0045961   .0078317    -0.59   0.557    -.0199716    .0107795
                  49  |   .0117635   .0098073     1.20   0.231    -.0074905    .0310176
                  50  |   .0023794   .0143867     0.17   0.869    -.0258651    .0306239
                  51  |  -.0120331   .0087959    -1.37   0.172    -.0293015    .0052354
                  53  |  -.0141796   .0075914    -1.87   0.062    -.0290834    .0007241
                  54  |  -.0339116   .0090465    -3.75   0.000    -.0516721    -.016151
                  55  |  -.0112943   .0106531    -1.06   0.289     -.032209    .0096204
                  56  |  -.0158877    .013829    -1.15   0.251    -.0430374     .011262
                      |
                 year |
                2012  |  -.0072983   .0024209    -3.01   0.003    -.0120511   -.0025454
                2014  |  -.0089262   .0023132    -3.86   0.000    -.0134676   -.0043848
                2016  |   -.015979   .0024756    -6.45   0.000    -.0208393   -.0111188
                2018  |  -.0154923   .0028271    -5.48   0.000    -.0210426    -.009942
                2020  |   -.045909   .0026464   -17.35   0.000    -.0511046   -.0407133
                      |
                _cons |   .2078337    .020456    10.16   0.000     .1676737    .2479938
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year, cluster(czone) 

Linear regression                               Number of obs     =    276,951
                                                F(71, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0250
                                                Root MSE          =     .33428

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0085624   .0009133    -9.38   0.000    -.0103554   -.0067694
              ideo5_3 |    .002713   .0007058     3.84   0.000     .0013275    .0040986
      cz_mean_ideo5_3 |   .0038706   .0046704     0.83   0.408    -.0052985    .0130397
             fb_share |  -.0373001   .0152454    -2.45   0.015    -.0672305   -.0073697
                  age |  -.0024437   .0000612   -39.92   0.000    -.0025639   -.0023235
               female |  -.0336544   .0016477   -20.42   0.000    -.0368892   -.0304195
              college |   .0735823   .0038982    18.88   0.000     .0659292    .0812355
                   hs |   .0437032   .0038756    11.28   0.000     .0360944     .051312
          citizen_dum |   .0370029   .0065277     5.67   0.000     .0241875    .0498183
          income_100k |   .0292521   .0020007    14.62   0.000     .0253242      .03318
           income_50k |   .0269918   .0016539    16.32   0.000     .0237447    .0302389
                white |  -.0220317   .0041959    -5.25   0.000    -.0302692   -.0137943
                black |  -.0528285   .0048097   -10.98   0.000    -.0622711   -.0433859
        race_hispanic |  -.0007272   .0049563    -0.15   0.883    -.0104576    .0090032
                asian |  -.0309044   .0060016    -5.15   0.000    -.0426869   -.0191218
nohealthinsurance_dum |   -.024168   .0025115    -9.62   0.000    -.0290986   -.0192374
            log_blood |   .0022406   .0016029     1.40   0.163    -.0009062    .0053875
L1_firearm_death_rate |  -.0005923   .0008632    -0.69   0.493     -.002287    .0011023
    incarcerated_rate |    .037937   .0590521     0.64   0.521    -.0779966    .1538705
                      |
                state |
                   2  |  -.0298418     .00955    -3.12   0.002    -.0485907    -.011093
                   4  |  -.0207207   .0069057    -3.00   0.003    -.0342783   -.0071631
                   5  |  -.0156482   .0087907    -1.78   0.075    -.0329064      .00161
                   6  |   -.006603   .0079156    -0.83   0.404    -.0221433    .0089373
                   8  |   -.029495   .0093946    -3.14   0.002     -.047939   -.0110511
                   9  |  -.0190202   .0069724    -2.73   0.007    -.0327087   -.0053317
                  10  |    .024412   .0083323     2.93   0.003     .0080537    .0407703
                  11  |  -.0530175   .0072728    -7.29   0.000    -.0672957   -.0387392
                  12  |   .0157871    .007496     2.11   0.036     .0010706    .0305035
                  13  |   .0021255   .0072363     0.29   0.769    -.0120811     .016332
                  15  |  -.0276893   .0112061    -2.47   0.014    -.0496895    -.005689
                  16  |  -.0056542   .0135889    -0.42   0.677    -.0323325     .021024
                  17  |   -.005365   .0078202    -0.69   0.493     -.020718    .0099879
                  18  |  -.0062481   .0090556    -0.69   0.490    -.0240265    .0115303
                  19  |  -.0005821    .008823    -0.07   0.947    -.0179037    .0167395
                  20  |  -.0016343   .0080957    -0.20   0.840    -.0175282    .0142595
                  21  |  -.0128612   .0084451    -1.52   0.128    -.0294409    .0037186
                  22  |   .0112006   .0098585     1.14   0.256    -.0081541    .0305553
                  23  |  -.0167152   .0108431    -1.54   0.124    -.0380028    .0045725
                  24  |  -.0218484   .0075491    -2.89   0.004    -.0366691   -.0070277
                  25  |  -.0174001   .0071613    -2.43   0.015    -.0314596   -.0033407
                  26  |  -.0168812   .0072526    -2.33   0.020    -.0311198   -.0026425
                  27  |  -.0059592    .008856    -0.67   0.501    -.0233457    .0114273
                  28  |   .0107944   .0086643     1.25   0.213    -.0062157    .0278046
                  29  |  -.0059457   .0084341    -0.70   0.481     -.022504    .0106125
                  30  |  -.0134933   .0093698    -1.44   0.150    -.0318884    .0049019
                  31  |   .0111597   .0168616     0.66   0.508    -.0219436    .0442631
                  32  |  -.0069119   .0072859    -0.95   0.343    -.0212158     .007392
                  33  |  -.0142427   .0075459    -1.89   0.059    -.0290571    .0005717
                  34  |  -.0191358   .0101421    -1.89   0.060    -.0390471    .0007755
                  35  |  -.0265324   .0091776    -2.89   0.004    -.0445502   -.0085145
                  36  |  -.0080909   .0071923    -1.12   0.261    -.0222112    .0060293
                  37  |  -.0044993   .0083518    -0.54   0.590     -.020896    .0118974
                  38  |   .0067395   .0124686     0.54   0.589    -.0177394    .0312184
                  39  |  -.0168352   .0084023    -2.00   0.045     -.033331   -.0003394
                  40  |  -.0138891   .0084228    -1.65   0.100    -.0304251     .002647
                  41  |  -.0202014   .0090154    -2.24   0.025    -.0379007    -.002502
                  42  |  -.0180428    .007978    -2.26   0.024    -.0337055   -.0023801
                  44  |   .0062586   .0069136     0.91   0.366    -.0073145    .0198317
                  45  |   .0079024   .0117764     0.67   0.502    -.0152176    .0310224
                  46  |   .0222864   .0168146     1.33   0.185    -.0107248    .0552976
                  47  |   -.006081   .0116692    -0.52   0.602    -.0289906    .0168285
                  48  |  -.0042759   .0078323    -0.55   0.585    -.0196526    .0111007
                  49  |   .0121157   .0098683     1.23   0.220    -.0072581    .0314895
                  50  |   .0032122   .0143927     0.22   0.823    -.0250442    .0314686
                  51  |  -.0117973   .0088182    -1.34   0.181    -.0291096     .005515
                  53  |  -.0135743   .0075859    -1.79   0.074    -.0284672    .0013186
                  54  |  -.0334355   .0090784    -3.68   0.000    -.0512587   -.0156124
                  55  |  -.0108941    .010611    -1.03   0.305     -.031726    .0099379
                  56  |  -.0153704   .0138451    -1.11   0.267    -.0425516    .0118108
                      |
                 year |
                2012  |  -.0072492    .002423    -2.99   0.003    -.0120061   -.0024922
                2014  |  -.0089117   .0023143    -3.85   0.000    -.0134553    -.004368
                2016  |  -.0159588   .0024763    -6.44   0.000    -.0208204   -.0110973
                2018  |  -.0154986   .0028274    -5.48   0.000    -.0210495   -.0099477
                2020  |  -.0458822   .0026447   -17.35   0.000    -.0510744     -.04069
                      |
                _cons |   .2071031   .0204618    10.12   0.000     .1669317    .2472746
---------------------------------------------------------------------------------------
(est8 stored)

. 
. esttab using "Table1.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ideo5
> _3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_dum 
> log_blood L1_firearm_death_rate incarcerated_rate) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_id
> eo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k noh
> ealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate) nonotes se(3) b(3) replace st
> ar(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *year*
> ") 
(note: file Table1.tex not found)
(output written to Table1.tex)

. 
. 
. * Table 2: Social Diversity and Blood Donation, by Age
. 
. eststo clear

. 
. * Age < 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age < 40, cluster(state) 

Linear regression                               Number of obs     =     68,367
                                                F(22, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0142
                                                Root MSE          =     .37496

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0082836   .0020885    -3.97   0.000    -.0124786   -.0040886
      st_mean_ideo5_3 |  -.0465006   .0299421    -1.55   0.127    -.1066412      .01364
             fb_share |  -.0259123   .0370996    -0.70   0.488     -.100429    .0486045
                  age |  -.0034151   .0002786   -12.26   0.000    -.0039746   -.0028556
               female |  -.0297523   .0031902    -9.33   0.000      -.03616   -.0233446
              college |   .0765281   .0077937     9.82   0.000      .060874    .0921822
                   hs |   .0648283   .0071556     9.06   0.000     .0504557    .0792008
          citizen_dum |   .0412375   .0077734     5.30   0.000     .0256241    .0568509
          income_100k |   .0109708   .0043873     2.50   0.016     .0021587     .019783
           income_50k |   .0227346   .0049996     4.55   0.000     .0126927    .0327765
                white |  -.0109147   .0070272    -1.55   0.127    -.0250293       .0032
                black |  -.0290026   .0087267    -3.32   0.002    -.0465307   -.0114744
        race_hispanic |   .0215365   .0079186     2.72   0.009     .0056314    .0374415
                asian |  -.0052595   .0088547    -0.59   0.555    -.0230446    .0125256
nohealthinsurance_dum |  -.0450257   .0040613   -11.09   0.000    -.0531829   -.0368684
            log_blood |  -.0010272   .0020447    -0.50   0.618    -.0051341    .0030796
L1_firearm_death_rate |  -.0036773   .0022044    -1.67   0.102    -.0081049    .0007503
    incarcerated_rate |   .0459039   .1390305     0.33   0.743    -.2333472     .325155
                      |
                state |
                   2  |  -.0363648   .0039766    -9.14   0.000    -.0443521   -.0283774
                   4  |  -.0143575    .004752    -3.02   0.004    -.0239022   -.0048128
                   5  |   .0018105     .00299     0.61   0.548     -.004195     .007816
                   6  |  -.0228115   .0135074    -1.69   0.097    -.0499419     .004319
                   8  |  -.0496237   .0078173    -6.35   0.000    -.0653253   -.0339221
                   9  |  -.0442194   .0115379    -3.83   0.000     -.067394   -.0210449
                  10  |  -.0067808   .0092647    -0.73   0.468    -.0253896     .011828
                  11  |  -.0904052   .0273958    -3.30   0.002    -.1454313    -.035379
                  12  |   .0197035   .0067433     2.92   0.005     .0061593    .0332477
                  13  |   .0096566   .0051242     1.88   0.065    -.0006356    .0199488
                  15  |  -.0034089   .0122907    -0.28   0.783    -.0280956    .0212777
                  16  |  -.0043554   .0035221    -1.24   0.222    -.0114297    .0027189
                  17  |  -.0227081   .0112282    -2.02   0.048    -.0452606   -.0001557
                  18  |  -.0103496   .0046521    -2.22   0.031    -.0196937   -.0010055
                  19  |  -.0132577   .0071179    -1.86   0.068    -.0275544     .001039
                  20  |   .0053875   .0050983     1.06   0.296    -.0048528    .0156278
                  21  |  -.0048132   .0045168    -1.07   0.292    -.0138854    .0042591
                  22  |   .0043031    .002579     1.67   0.101    -.0008769    .0094831
                  23  |  -.0503364   .0093903    -5.36   0.000    -.0691974   -.0314753
                  24  |  -.0541743   .0116161    -4.66   0.000    -.0775058   -.0308427
                  25  |  -.0499465   .0160324    -3.12   0.003    -.0821486   -.0177444
                  26  |  -.0446113   .0089556    -4.98   0.000    -.0625991   -.0266234
                  27  |  -.0272577   .0111825    -2.44   0.018    -.0497185   -.0047969
                  28  |   .0419126   .0013704    30.59   0.000     .0391602    .0446651
                  29  |  -.0149341   .0047004    -3.18   0.003    -.0243752    -.005493
                  30  |  -.0412208   .0044372    -9.29   0.000    -.0501333   -.0323084
                  31  |  -.0166967   .0044591    -3.74   0.000    -.0256532   -.0077403
                  32  |   .0040737   .0085157     0.48   0.634    -.0130306     .021178
                  33  |  -.0599714   .0099681    -6.02   0.000     -.079993   -.0399498
                  34  |  -.0348404   .0114767    -3.04   0.004    -.0578921   -.0117887
                  35  |  -.0136369   .0085102    -1.60   0.115    -.0307301    .0034562
                  36  |  -.0382267   .0136729    -2.80   0.007    -.0656894   -.0107639
                  37  |  -.0112537   .0054948    -2.05   0.046    -.0222903    -.000217
                  38  |   -.002696   .0035756    -0.75   0.454    -.0098778    .0044858
                  39  |  -.0287538   .0071536    -4.02   0.000    -.0431222   -.0143855
                  40  |  -.0199182   .0015276   -13.04   0.000    -.0229865   -.0168499
                  41  |  -.0654163   .0138315    -4.73   0.000    -.0931976    -.037635
                  42  |  -.0352603   .0070534    -5.00   0.000    -.0494274   -.0210931
                  44  |   .0025572   .0153914     0.17   0.869    -.0283573    .0334718
                  45  |   .0125638   .0027192     4.62   0.000     .0071021    .0180255
                  46  |   .0897861   .0035932    24.99   0.000      .082569    .0970033
                  47  |   .0126692   .0027016     4.69   0.000     .0072429    .0180955
                  48  |   .0056964   .0044408     1.28   0.206    -.0032233    .0146161
                  49  |  -.0070562   .0034855    -2.02   0.048     -.014057   -.0000553
                  50  |   .0064128   .0188348     0.34   0.735    -.0314182    .0442437
                  51  |  -.0395633   .0075826    -5.22   0.000    -.0547933   -.0243332
                  53  |   -.054684   .0124026    -4.41   0.000    -.0795954   -.0297726
                  54  |  -.0561341   .0033449   -16.78   0.000    -.0628526   -.0494155
                  55  |   -.029826   .0072235    -4.13   0.000    -.0443348   -.0153171
                  56  |   -.071018   .0042321   -16.78   0.000    -.0795184   -.0625176
                      |
                 year |
                2012  |   -.017132   .0074257    -2.31   0.025     -.032047    -.002217
                2014  |  -.0095795   .0085741    -1.12   0.269    -.0268011     .007642
                2016  |  -.0246411   .0110435    -2.23   0.030    -.0468226   -.0024595
                2018  |    -.02949   .0114791    -2.57   0.013    -.0525464   -.0064335
                2020  |  -.0773621   .0126859    -6.10   0.000    -.1028425   -.0518817
                      |
                _cons |   .3916721   .1095393     3.58   0.001      .171656    .6116883
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age < 40, cluster(state) 

Linear regression                               Number of obs     =     68,367
                                                F(23, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0144
                                                Root MSE          =     .37494

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0102276   .0021098    -4.85   0.000    -.0144652   -.0059899
              ideo5_3 |  -.0042582   .0013097    -3.25   0.002    -.0068889   -.0016276
      st_mean_ideo5_3 |  -.0422212   .0299534    -1.41   0.165    -.1023843    .0179419
             fb_share |  -.0259675   .0373231    -0.70   0.490    -.1009331    .0489981
                  age |  -.0033676   .0002778   -12.12   0.000    -.0039256   -.0028097
               female |  -.0301798   .0031759    -9.50   0.000    -.0365588   -.0238008
              college |   .0753813   .0078531     9.60   0.000     .0596079    .0911547
                   hs |   .0644087   .0072208     8.92   0.000     .0499054     .078912
          citizen_dum |   .0412756   .0077687     5.31   0.000     .0256717    .0568794
          income_100k |   .0113338   .0043926     2.58   0.013     .0025111    .0201566
           income_50k |   .0229851   .0049803     4.62   0.000     .0129818    .0329884
                white |  -.0103265    .007022    -1.47   0.148    -.0244305    .0037775
                black |   -.029249   .0087558    -3.34   0.002    -.0468356   -.0116625
        race_hispanic |   .0215757   .0079532     2.71   0.009     .0056012    .0375503
                asian |  -.0051205   .0088925    -0.58   0.567    -.0229817    .0127406
nohealthinsurance_dum |  -.0451224   .0040829   -11.05   0.000    -.0533232   -.0369216
            log_blood |  -.0015492   .0020936    -0.74   0.463    -.0057544     .002656
L1_firearm_death_rate |  -.0037687   .0022044    -1.71   0.094    -.0081965     .000659
    incarcerated_rate |   .0510186   .1391046     0.37   0.715    -.2283813    .3304185
                      |
                state |
                   2  |  -.0363751   .0039777    -9.14   0.000    -.0443646   -.0283856
                   4  |  -.0149397   .0047439    -3.15   0.003     -.024468   -.0054114
                   5  |   .0013327   .0029704     0.45   0.656    -.0046335    .0072988
                   6  |  -.0226243   .0134717    -1.68   0.099     -.049683    .0044344
                   8  |  -.0500121   .0078058    -6.41   0.000    -.0656905   -.0343336
                   9  |   -.044692   .0115237    -3.88   0.000     -.067838   -.0215459
                  10  |  -.0069868    .009257    -0.75   0.454    -.0255801    .0116065
                  11  |  -.0893594   .0273565    -3.27   0.002    -.1443066   -.0344122
                  12  |   .0195949   .0067367     2.91   0.005     .0060638     .033126
                  13  |   .0095089   .0051177     1.86   0.069    -.0007704    .0197881
                  15  |  -.0032763   .0122751    -0.27   0.791    -.0279316    .0213789
                  16  |  -.0049874   .0034856    -1.43   0.159    -.0119884    .0020135
                  17  |  -.0223684   .0112209    -1.99   0.052    -.0449062    .0001693
                  18  |  -.0107522   .0046496    -2.31   0.025    -.0200912   -.0014132
                  19  |  -.0137911   .0071097    -1.94   0.058    -.0280713    .0004891
                  20  |   .0047781   .0050823     0.94   0.352    -.0054299    .0149861
                  21  |  -.0056038   .0044981    -1.25   0.219    -.0146386     .003431
                  22  |   .0037869   .0025334     1.49   0.141    -.0013015    .0088753
                  23  |  -.0515692   .0093905    -5.49   0.000    -.0704306   -.0327079
                  24  |  -.0542111   .0115981    -4.67   0.000    -.0775066   -.0309156
                  25  |  -.0501014    .016007    -3.13   0.003    -.0822524   -.0179504
                  26  |  -.0450366   .0089533    -5.03   0.000    -.0630198   -.0270534
                  27  |  -.0271595   .0111853    -2.43   0.019    -.0496259   -.0046931
                  28  |   .0417021   .0013996    29.80   0.000      .038891    .0445132
                  29  |  -.0152375   .0046938    -3.25   0.002    -.0246652   -.0058098
                  30  |  -.0422965   .0044353    -9.54   0.000     -.051205   -.0333879
                  31  |  -.0173234   .0044246    -3.92   0.000    -.0262106   -.0084363
                  32  |   .0038241   .0085011     0.45   0.655     -.013251    .0208991
                  33  |  -.0607932   .0099767    -6.09   0.000     -.080832   -.0407544
                  34  |  -.0347684   .0114573    -3.03   0.004     -.057781   -.0117558
                  35  |  -.0141394   .0085154    -1.66   0.103    -.0312431    .0029644
                  36  |  -.0380051   .0136491    -2.78   0.008      -.06542   -.0105901
                  37  |  -.0116112   .0054864    -2.12   0.039    -.0226309   -.0005915
                  38  |  -.0030027   .0035716    -0.84   0.405    -.0101765    .0041712
                  39  |  -.0293649    .007149    -4.11   0.000     -.043724   -.0150058
                  40  |  -.0202731   .0015322   -13.23   0.000    -.0233507   -.0171956
                  41  |  -.0658769   .0138271    -4.76   0.000    -.0936495   -.0381043
                  42  |  -.0355995   .0070471    -5.05   0.000     -.049754    -.021445
                  44  |   .0021891   .0153716     0.14   0.887    -.0286857     .033064
                  45  |   .0120166   .0026937     4.46   0.000     .0066061     .017427
                  46  |    .089931   .0035929    25.03   0.000     .0827145    .0971476
                  47  |   .0124549   .0026927     4.63   0.000     .0070465    .0178634
                  48  |   .0056463   .0044558     1.27   0.211    -.0033034     .014596
                  49  |   -.007007   .0034866    -2.01   0.050    -.0140101   -3.97e-06
                  50  |   .0057529    .018846     0.31   0.761    -.0321005    .0436062
                  51  |  -.0396938   .0075698    -5.24   0.000    -.0548982   -.0244895
                  53  |  -.0548232   .0123857    -4.43   0.000    -.0797007   -.0299457
                  54  |  -.0569502   .0033259   -17.12   0.000    -.0636304     -.05027
                  55  |  -.0301338   .0072212    -4.17   0.000     -.044638   -.0156297
                  56  |  -.0715787   .0041702   -17.16   0.000    -.0799548   -.0632026
                      |
                 year |
                2012  |  -.0170781   .0074382    -2.30   0.026    -.0320181    -.002138
                2014  |  -.0093949   .0085522    -1.10   0.277    -.0265724    .0077826
                2016  |  -.0244532   .0110423    -2.21   0.031    -.0466323    -.002274
                2018  |  -.0294582   .0114702    -2.57   0.013    -.0524968   -.0064197
                2020  |  -.0774375   .0126901    -6.10   0.000    -.1029262   -.0519487
                      |
                _cons |   .3919395   .1095874     3.58   0.001     .1718267    .6120523
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age < 40, cluster(czone) 

Linear regression                               Number of obs     =     68,367
                                                F(70, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0142
                                                Root MSE          =     .37497

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0085048   .0019146    -4.44   0.000    -.0122641   -.0047455
      cz_mean_ideo5_3 |    .005556    .009733     0.57   0.568    -.0135545    .0246665
             fb_share |   -.021732   .0308603    -0.70   0.482    -.0823251    .0388612
                  age |  -.0034174   .0002416   -14.15   0.000    -.0038918   -.0029431
               female |  -.0297996   .0034383    -8.67   0.000    -.0365506   -.0230486
              college |   .0764587   .0087547     8.73   0.000     .0592692    .0936482
                   hs |   .0647322   .0083879     7.72   0.000     .0482629    .0812015
          citizen_dum |   .0411242   .0087472     4.70   0.000     .0239493    .0582992
          income_100k |   .0110126   .0042342     2.60   0.010     .0026989    .0193263
           income_50k |   .0227404   .0031744     7.16   0.000     .0165075    .0289732
                white |   -.011012   .0064606    -1.70   0.089    -.0236973    .0016732
                black |  -.0289839   .0087075    -3.33   0.001    -.0460807    -.011887
        race_hispanic |   .0214872   .0071079     3.02   0.003     .0075311    .0354433
                asian |  -.0052911   .0087115    -0.61   0.544    -.0223958    .0118136
nohealthinsurance_dum |  -.0450407   .0043533   -10.35   0.000    -.0535882   -.0364932
            log_blood |  -.0008597   .0024633    -0.35   0.727    -.0056962    .0039768
L1_firearm_death_rate |  -.0036814   .0021221    -1.73   0.083    -.0078481    .0004853
    incarcerated_rate |    .041327   .1282712     0.32   0.747    -.2105295    .2931835
                      |
                state |
                   2  |  -.0320666   .0356246    -0.90   0.368    -.1020144    .0378812
                   4  |  -.0085311   .0188989    -0.45   0.652    -.0456385    .0285762
                   5  |   .0026411   .0230763     0.11   0.909    -.0426685    .0479507
                   6  |  -.0011779   .0200666    -0.06   0.953    -.0405781    .0382223
                   8  |  -.0370426   .0213023    -1.74   0.083    -.0788691    .0047838
                   9  |  -.0250539   .0186709    -1.34   0.180    -.0617137    .0116059
                  10  |   .0080336   .0299374     0.27   0.789    -.0507475    .0668148
                  11  |   -.044568   .0191317    -2.33   0.020    -.0821326   -.0070035
                  12  |   .0287677   .0196617     1.46   0.144    -.0098375    .0673729
                  13  |   .0164315   .0188492     0.87   0.384    -.0205784    .0534413
                  15  |   .0161254   .0281983     0.57   0.568    -.0392411    .0714918
                  16  |  -.0073163   .0232366    -0.31   0.753    -.0529406    .0383081
                  17  |   -.004041   .0203095    -0.20   0.842    -.0439181     .035836
                  18  |  -.0032541   .0240626    -0.14   0.892    -.0505002    .0439921
                  19  |  -.0022747   .0244806    -0.09   0.926    -.0503416    .0457922
                  20  |   .0124606   .0211102     0.59   0.555    -.0289887    .0539099
                  21  |   .0009777   .0206188     0.05   0.962    -.0395066     .041462
                  22  |   .0027255   .0206728     0.13   0.895    -.0378649    .0433159
                  23  |  -.0349691   .0212315    -1.65   0.100    -.0766565    .0067182
                  24  |  -.0347947   .0207049    -1.68   0.093    -.0754483    .0058588
                  25  |  -.0225809   .0190614    -1.18   0.237    -.0600073    .0148455
                  26  |  -.0299995   .0194983    -1.54   0.124    -.0682838    .0082847
                  27  |  -.0088073   .0201495    -0.44   0.662    -.0483702    .0307555
                  28  |   .0413285   .0224885     1.84   0.067     -.002827    .0854841
                  29  |  -.0085821   .0188754    -0.45   0.649    -.0456434    .0284792
                  30  |  -.0356014   .0257282    -1.38   0.167    -.0861179    .0149151
                  31  |  -.0116314   .0207189    -0.56   0.575    -.0523124    .0290496
                  32  |   .0161708   .0211149     0.77   0.444    -.0252876    .0576291
                  33  |  -.0433061    .023198    -1.87   0.062    -.0888546    .0022425
                  34  |  -.0165116   .0195038    -0.85   0.398    -.0548066    .0217835
                  35  |   .0008421   .0220279     0.04   0.970    -.0424089    .0440932
                  36  |  -.0155611   .0197703    -0.79   0.432    -.0543796    .0232573
                  37  |   -.002872   .0201645    -0.14   0.887    -.0424644    .0367203
                  38  |   .0004574   .0346999     0.01   0.989    -.0676749    .0685897
                  39  |  -.0174137   .0221767    -0.79   0.433    -.0609571    .0261296
                  40  |  -.0195429      .0231    -0.85   0.398     -.064899    .0258133
                  41  |  -.0419199   .0203778    -2.06   0.040     -.081931   -.0019087
                  42  |  -.0243166   .0191643    -1.27   0.205     -.061945    .0133119
                  44  |   .0283223   .0187253     1.51   0.131    -.0084443    .0650889
                  45  |   .0135814   .0281475     0.48   0.630    -.0416854    .0688482
                  46  |    .085371   .0275384     3.10   0.002     .0313001    .1394418
                  47  |   .0134204   .0203249     0.66   0.509     -.026487    .0533278
                  48  |   .0099194   .0194852     0.51   0.611    -.0283392    .0481781
                  49  |  -.0053858   .0245398    -0.22   0.826    -.0535689    .0427973
                  50  |   .0380247   .0756304     0.50   0.615    -.1104732    .1865227
                  51  |  -.0267296   .0194384    -1.38   0.170    -.0648963    .0114372
                  53  |   -.033814   .0190793    -1.77   0.077    -.0712756    .0036476
                  54  |  -.0541851   .0209777    -2.58   0.010    -.0953743    -.012996
                  55  |  -.0176042   .0210558    -0.84   0.403    -.0589465    .0237382
                  56  |  -.0764261   .0328311    -2.33   0.020     -.140889   -.0119633
                      |
                 year |
                2012  |   -.010749   .0064025    -1.68   0.094    -.0233202    .0018222
                2014  |   .0003754   .0061961     0.06   0.952    -.0117904    .0125412
                2016  |    -.01058   .0061605    -1.72   0.086     -.022676     .001516
                2018  |  -.0151913   .0055538    -2.74   0.006     -.026096   -.0042866
                2020  |  -.0593231   .0057047   -10.40   0.000    -.0705242    -.048122
                      |
                _cons |   .2082958   .0433586     4.80   0.000     .1231626    .2934291
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age < 40, cluster(czone) 

Linear regression                               Number of obs     =     68,367
                                                F(71, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0144
                                                Root MSE          =     .37494

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |   -.010528   .0019895    -5.29   0.000    -.0144344   -.0066217
              ideo5_3 |  -.0044714   .0013352    -3.35   0.001     -.007093   -.0018499
      cz_mean_ideo5_3 |   .0098936    .009686     1.02   0.307    -.0091246    .0289117
             fb_share |  -.0174851   .0308723    -0.57   0.571    -.0781019    .0431318
                  age |  -.0033685   .0002412   -13.97   0.000     -.003842    -.002895
               female |  -.0302652   .0034484    -8.78   0.000     -.037036   -.0234945
              college |   .0752957   .0087801     8.58   0.000     .0580562    .0925352
                   hs |   .0642803   .0083829     7.67   0.000     .0478208    .0807397
          citizen_dum |   .0411264   .0087396     4.71   0.000     .0239665    .0582863
          income_100k |   .0114386   .0042275     2.71   0.007      .003138    .0197391
           income_50k |   .0230245   .0031752     7.25   0.000     .0167901    .0292589
                white |  -.0104216   .0064544    -1.61   0.107    -.0230946    .0022514
                black |  -.0292158   .0087188    -3.35   0.001    -.0463349   -.0120967
        race_hispanic |   .0214849   .0071304     3.01   0.003     .0074846    .0354852
                asian |  -.0051131    .008733    -0.59   0.558      -.02226    .0120338
nohealthinsurance_dum |  -.0451545   .0043616   -10.35   0.000    -.0537183   -.0365907
            log_blood |  -.0012542   .0024662    -0.51   0.611    -.0060964     .003588
L1_firearm_death_rate |  -.0037761   .0021113    -1.79   0.074    -.0079217    .0003694
    incarcerated_rate |   .0436015   .1282083     0.34   0.734    -.2081316    .2953345
                      |
                state |
                   2  |  -.0320387   .0354168    -0.90   0.366    -.1015785    .0375011
                   4  |  -.0094504   .0188098    -0.50   0.616    -.0463828     .027482
                   5  |   .0022082   .0230427     0.10   0.924    -.0430354    .0474517
                   6  |  -.0021183   .0199963    -0.11   0.916    -.0413803    .0371437
                   8  |  -.0377532   .0212432    -1.78   0.076    -.0794636    .0039572
                   9  |  -.0260101   .0185844    -1.40   0.162    -.0624999    .0104798
                  10  |   .0073279   .0300874     0.24   0.808    -.0517478    .0664037
                  11  |  -.0461345   .0190463    -2.42   0.016    -.0835312   -.0087377
                  12  |   .0279474     .01958     1.43   0.154    -.0104974    .0663922
                  13  |   .0159925   .0187739     0.85   0.395    -.0208694    .0528544
                  15  |   .0154351   .0281524     0.55   0.584    -.0398413    .0707114
                  16  |  -.0078443   .0233711    -0.34   0.737    -.0537328    .0380441
                  17  |   -.004281   .0202252    -0.21   0.832    -.0439925    .0354305
                  18  |  -.0036522   .0239512    -0.15   0.879    -.0506797    .0433753
                  19  |   -.002857   .0243966    -0.12   0.907    -.0507589    .0450449
                  20  |   .0118601   .0209597     0.57   0.572    -.0292937    .0530138
                  21  |   .0003383   .0205176     0.02   0.987    -.0399473    .0406239
                  22  |   .0021736   .0205829     0.11   0.916    -.0382404    .0425876
                  23  |   -.036103   .0212333    -1.70   0.090    -.0777939    .0055879
                  24  |  -.0353335   .0206308    -1.71   0.087    -.0758413    .0051744
                  25  |  -.0234129   .0189758    -1.23   0.218    -.0606713    .0138454
                  26  |  -.0305261   .0194161    -1.57   0.116    -.0686489    .0075967
                  27  |  -.0089801   .0200818    -0.45   0.655      -.04841    .0304498
                  28  |   .0412772    .022418     1.84   0.066    -.0027398    .0852942
                  29  |  -.0089429   .0187908    -0.48   0.634    -.0458379    .0279522
                  30  |   -.036515   .0255932    -1.43   0.154    -.0867666    .0137365
                  31  |  -.0123706   .0206635    -0.60   0.550    -.0529427    .0282016
                  32  |   .0150991   .0210137     0.72   0.473    -.0261607    .0563588
                  33  |   -.044156   .0230872    -1.91   0.056     -.089487     .001175
                  34  |  -.0173298    .019433    -0.89   0.373    -.0554859    .0208263
                  35  |   .0001362   .0219445     0.01   0.995    -.0429512    .0432236
                  36  |  -.0162505   .0197085    -0.82   0.410    -.0549475    .0224465
                  37  |  -.0033641   .0200818    -0.17   0.867    -.0427941    .0360658
                  38  |    .000525   .0346273     0.02   0.988    -.0674647    .0685147
                  39  |  -.0180691   .0220977    -0.82   0.414    -.0614572     .025319
                  40  |  -.0199237   .0230901    -0.86   0.389    -.0652605     .025413
                  41  |  -.0427536   .0203325    -2.10   0.036    -.0826759   -.0028314
                  42  |  -.0247783   .0190935    -1.30   0.195    -.0622678    .0127113
                  44  |    .027052   .0186351     1.45   0.147    -.0095373    .0636414
                  45  |   .0131599     .02812     0.47   0.640    -.0420529    .0683728
                  46  |   .0854782   .0275426     3.10   0.002     .0313991    .1395573
                  47  |   .0132109   .0203029     0.65   0.515    -.0266531     .053075
                  48  |   .0093144   .0194005     0.48   0.631    -.0287779    .0474066
                  49  |  -.0055301   .0244264    -0.23   0.821    -.0534905    .0424304
                  50  |   .0370093   .0756342     0.49   0.625    -.1114961    .1855147
                  51  |  -.0270651   .0193734    -1.40   0.163    -.0651042    .0109741
                  53  |   -.034412   .0190101    -1.81   0.071    -.0717377    .0029137
                  54  |  -.0546894   .0209214    -2.61   0.009    -.0957679    -.013611
                  55  |  -.0178375   .0210313    -0.85   0.397    -.0591318    .0234567
                  56  |  -.0768907   .0329398    -2.33   0.020    -.1415671   -.0122144
                      |
                 year |
                2012  |  -.0106896   .0064179    -1.67   0.096    -.0232908    .0019117
                2014  |   .0005435   .0062006     0.09   0.930    -.0116312    .0127183
                2016  |  -.0104559   .0061531    -1.70   0.090    -.0225372    .0016255
                2018  |  -.0152077   .0055481    -2.74   0.006    -.0261013   -.0043142
                2020  |   -.059449   .0057067   -10.42   0.000    -.0706539   -.0482441
                      |
                _cons |   .2088017   .0432971     4.82   0.000     .1237891    .2938143
---------------------------------------------------------------------------------------
(est4 stored)

.  
. * Age >= 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age >= 40, cluster(state) 

Linear regression                               Number of obs     =    208,584
                                                F(22, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0260
                                                Root MSE          =     .31944

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0088187   .0011361    -7.76   0.000    -.0111006   -.0065368
      st_mean_ideo5_3 |   .0211761   .0149053     1.42   0.162    -.0087621    .0511142
             fb_share |  -.0455884   .0135516    -3.36   0.001    -.0728075   -.0183692
                  age |  -.0029702    .000136   -21.85   0.000    -.0032433   -.0026971
               female |  -.0346616   .0017698   -19.59   0.000    -.0382163    -.031107
              college |   .0721152   .0039237    18.38   0.000     .0642343    .0799961
                   hs |   .0359725   .0034722    10.36   0.000     .0289984    .0429465
          citizen_dum |   .0314479   .0068111     4.62   0.000     .0177673    .0451285
          income_100k |   .0329575    .002451    13.45   0.000     .0280344    .0378805
           income_50k |   .0289291    .002135    13.55   0.000     .0246407    .0332174
                white |  -.0253088   .0045111    -5.61   0.000    -.0343695    -.016248
                black |  -.0654166   .0054266   -12.05   0.000    -.0763162   -.0545169
        race_hispanic |  -.0157772   .0069032    -2.29   0.027    -.0296428   -.0019116
                asian |  -.0456218   .0079611    -5.73   0.000    -.0616121   -.0296315
nohealthinsurance_dum |  -.0170378   .0032413    -5.26   0.000    -.0235482   -.0105274
            log_blood |   .0032685   .0019731     1.66   0.104    -.0006945    .0072315
L1_firearm_death_rate |   .0004263   .0010028     0.43   0.673    -.0015878    .0024405
    incarcerated_rate |   .0501067   .0808745     0.62   0.538    -.1123346    .2125479
                      |
                state |
                   2  |  -.0285519   .0019299   -14.79   0.000    -.0324282   -.0246756
                   4  |  -.0218879   .0021615   -10.13   0.000    -.0262293   -.0175465
                   5  |  -.0205623   .0014133   -14.55   0.000     -.023401   -.0177235
                   6  |  -.0013187   .0068303    -0.19   0.848    -.0150378    .0124004
                   8  |  -.0235587   .0038124    -6.18   0.000    -.0312161   -.0159012
                   9  |  -.0120196   .0058276    -2.06   0.044    -.0237247   -.0003144
                  10  |   .0324123   .0045509     7.12   0.000     .0232715    .0415532
                  11  |  -.0323862   .0148696    -2.18   0.034    -.0622527   -.0025196
                  12  |   .0154379   .0030598     5.05   0.000     .0092921    .0215836
                  13  |  -.0009977   .0023148    -0.43   0.668    -.0056471    .0036517
                  15  |  -.0328185   .0067363    -4.87   0.000    -.0463488   -.0192882
                  16  |  -.0065445   .0019021    -3.44   0.001    -.0103649   -.0027241
                  17  |   .0000787   .0058942     0.01   0.989    -.0117602    .0119175
                  18  |   -.005728   .0021481    -2.67   0.010    -.0100426   -.0014134
                  19  |   .0027355   .0031969     0.86   0.396    -.0036856    .0091567
                  20  |  -.0040293   .0023971    -1.68   0.099    -.0088441    .0007854
                  21  |  -.0168848   .0019328    -8.74   0.000    -.0207669   -.0130028
                  22  |   .0134774    .001013    13.30   0.000     .0114427     .015512
                  23  |  -.0099674   .0046893    -2.13   0.039    -.0193861   -.0005487
                  24  |  -.0104736   .0060689    -1.73   0.091    -.0226634    .0017162
                  25  |  -.0071474   .0081839    -0.87   0.387    -.0235853    .0092905
                  26  |  -.0089151   .0042979    -2.07   0.043    -.0175477   -.0002826
                  27  |   .0002903   .0055532     0.05   0.959    -.0108637    .0114443
                  28  |   .0007294    .001023     0.71   0.479    -.0013254    .0027842
                  29  |  -.0034884   .0021975    -1.59   0.119    -.0079022    .0009255
                  30  |  -.0081139   .0022194    -3.66   0.001    -.0125717   -.0036561
                  31  |   .0202442   .0017514    11.56   0.000     .0167264     .023762
                  32  |  -.0091974   .0038698    -2.38   0.021      -.01697   -.0014247
                  33  |  -.0042068   .0046691    -0.90   0.372     -.013585    .0051713
                  34  |  -.0143302   .0057694    -2.48   0.016    -.0259183   -.0027421
                  35  |  -.0283998    .004472    -6.35   0.000    -.0373821   -.0194176
                  36  |   .0034372   .0069589     0.49   0.624    -.0105401    .0174146
                  37  |  -.0031146   .0027002    -1.15   0.254    -.0085381     .002309
                  38  |   .0126807   .0020471     6.19   0.000     .0085689    .0167925
                  39  |  -.0141375   .0034175    -4.14   0.000    -.0210017   -.0072733
                  40  |  -.0128033   .0007586   -16.88   0.000     -.014327   -.0112797
                  41  |  -.0072479   .0067259    -1.08   0.286    -.0207573    .0062615
                  42  |  -.0132411    .003407    -3.89   0.000    -.0200841    -.006398
                  44  |   .0073066   .0077849     0.94   0.352    -.0083299    .0229431
                  45  |   .0058975   .0010854     5.43   0.000     .0037175    .0080775
                  46  |   .0020327   .0016517     1.23   0.224     -.001285    .0053503
                  47  |  -.0126755   .0011107   -11.41   0.000    -.0149065   -.0104445
                  48  |  -.0073471   .0018137    -4.05   0.000    -.0109899   -.0037042
                  49  |   .0235968   .0016676    14.15   0.000     .0202474    .0269461
                  50  |   .0021963    .009424     0.23   0.817    -.0167322    .0211249
                  51  |  -.0019714   .0038279    -0.52   0.609      -.00966    .0057172
                  53  |  -.0017492    .006226    -0.28   0.780    -.0142545    .0107561
                  54  |  -.0284332   .0018226   -15.60   0.000     -.032094   -.0247725
                  55  |  -.0061468   .0034637    -1.77   0.082    -.0131039    .0008102
                  56  |  -.0025495   .0023007    -1.11   0.273    -.0071706    .0020716
                      |
                 year |
                2012  |  -.0044348    .003046    -1.46   0.152    -.0105528    .0016832
                2014  |  -.0076695   .0040799    -1.88   0.066    -.0158644    .0005253
                2016  |  -.0107815    .005042    -2.14   0.037    -.0209087   -.0006544
                2018  |  -.0083178   .0057042    -1.46   0.151    -.0197751    .0031395
                2020  |  -.0326216   .0061749    -5.28   0.000    -.0450243   -.0202189
                      |
                _cons |    .201477   .0532756     3.78   0.000     .0944699    .3084842
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age >= 40, cluster(state) 

Linear regression                               Number of obs     =    208,584
                                                F(23, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0263
                                                Root MSE          =      .3194

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0091597   .0011413    -8.03   0.000    -.0114521   -.0068673
              ideo5_3 |   .0047055   .0006312     7.45   0.000     .0034376    .0059733
      st_mean_ideo5_3 |   .0171405   .0147608     1.16   0.251    -.0125075    .0467885
             fb_share |  -.0440073   .0133695    -3.29   0.002    -.0708607   -.0171539
                  age |  -.0030095   .0001369   -21.98   0.000    -.0032845   -.0027346
               female |  -.0336157   .0017864   -18.82   0.000    -.0372037   -.0300276
              college |   .0739363   .0039699    18.62   0.000     .0659626    .0819101
                   hs |   .0362131   .0035034    10.34   0.000     .0291763      .04325
          citizen_dum |   .0302957   .0067567     4.48   0.000     .0167245    .0438669
          income_100k |   .0321064    .002457    13.07   0.000     .0271714    .0370414
           income_50k |   .0284398   .0021354    13.32   0.000     .0241508    .0327289
                white |  -.0246774   .0045343    -5.44   0.000    -.0337849   -.0155699
                black |  -.0629545   .0054646   -11.52   0.000    -.0739304   -.0519786
        race_hispanic |  -.0148482      .0068    -2.18   0.034    -.0285064   -.0011899
                asian |  -.0454184   .0079156    -5.74   0.000    -.0613173   -.0295194
nohealthinsurance_dum |  -.0170432   .0032348    -5.27   0.000    -.0235405    -.010546
            log_blood |   .0037672   .0019877     1.90   0.064    -.0002251    .0077595
L1_firearm_death_rate |   .0004522   .0010135     0.45   0.657    -.0015835    .0024878
    incarcerated_rate |   .0468094   .0806778     0.58   0.564    -.1152367    .2088555
                      |
                state |
                   2  |  -.0275014   .0019593   -14.04   0.000    -.0314367   -.0235661
                   4  |  -.0212263   .0021645    -9.81   0.000    -.0255738   -.0168788
                   5  |  -.0199242   .0014386   -13.85   0.000    -.0228137   -.0170347
                   6  |  -.0011368   .0068101    -0.17   0.868    -.0148153    .0125416
                   8  |  -.0232005   .0038201    -6.07   0.000    -.0308733   -.0155276
                   9  |  -.0112657   .0058223    -1.93   0.059    -.0229601    .0004287
                  10  |   .0330827   .0045662     7.25   0.000     .0239113    .0422541
                  11  |  -.0334298   .0148488    -2.25   0.029    -.0632546   -.0036051
                  12  |   .0156321     .00306     5.11   0.000     .0094859    .0217784
                  13  |  -.0010737   .0023111    -0.46   0.644    -.0057158    .0035684
                  15  |  -.0315914   .0067497    -4.68   0.000    -.0451486   -.0180342
                  16  |  -.0055705   .0019235    -2.90   0.006    -.0094341    -.001707
                  17  |  -.0000117      .0059    -0.00   0.998    -.0118621    .0118387
                  18  |  -.0051221   .0021648    -2.37   0.022    -.0094703   -.0007739
                  19  |   .0035869   .0032142     1.12   0.270     -.002869    .0100428
                  20  |  -.0032238   .0024166    -1.33   0.188    -.0080777    .0016301
                  21  |  -.0163246   .0019532    -8.36   0.000    -.0202478   -.0124014
                  22  |   .0134608    .001027    13.11   0.000     .0113979    .0155236
                  23  |  -.0088013   .0047082    -1.87   0.067     -.018258    .0006555
                  24  |   -.010572   .0060584    -1.75   0.087    -.0227406    .0015966
                  25  |  -.0067814    .008174    -0.83   0.411    -.0231993    .0096365
                  26  |  -.0082766   .0043051    -1.92   0.060    -.0169236    .0003704
                  27  |   .0008651   .0055622     0.16   0.877    -.0103068    .0120371
                  28  |   .0008769   .0010305     0.85   0.399    -.0011929    .0029468
                  29  |  -.0030285    .002214    -1.37   0.177    -.0074755    .0014185
                  30  |  -.0069439   .0022689    -3.06   0.004    -.0115012   -.0023866
                  31  |   .0207024   .0017635    11.74   0.000     .0171603    .0242445
                  32  |  -.0085253   .0038636    -2.21   0.032    -.0162857    -.000765
                  33  |  -.0029469   .0046873    -0.63   0.532    -.0123617    .0064678
                  34  |  -.0143467    .005761    -2.49   0.016     -.025918   -.0027755
                  35  |  -.0274792   .0044872    -6.12   0.000    -.0364921   -.0184664
                  36  |   .0034766   .0069499     0.50   0.619    -.0104826    .0174359
                  37  |  -.0027899   .0027027    -1.03   0.307    -.0082185    .0026387
                  38  |   .0139499   .0020998     6.64   0.000     .0097324    .0181675
                  39  |  -.0135287   .0034294    -3.94   0.000    -.0204168   -.0066407
                  40  |  -.0123747   .0007487   -16.53   0.000    -.0138785    -.010871
                  41  |  -.0062041   .0067341    -0.92   0.361    -.0197299    .0073217
                  42  |  -.0127637   .0034206    -3.73   0.000    -.0196341   -.0058932
                  44  |   .0078752   .0077841     1.01   0.317    -.0077596    .0235101
                  45  |   .0061602   .0010958     5.62   0.000     .0039593    .0083611
                  46  |   .0030065   .0016763     1.79   0.079    -.0003605    .0063736
                  47  |  -.0121409   .0011444   -10.61   0.000    -.0144395   -.0098424
                  48  |  -.0074893   .0018229    -4.11   0.000    -.0111508   -.0038279
                  49  |   .0243712   .0016902    14.42   0.000     .0209765     .027766
                  50  |   .0036002   .0094342     0.38   0.704    -.0153491    .0225494
                  51  |  -.0018785    .003814    -0.49   0.625    -.0095391    .0057822
                  53  |   -.001053   .0062282    -0.17   0.866    -.0135627    .0114568
                  54  |  -.0272686    .001879   -14.51   0.000    -.0310427   -.0234945
                  55  |   -.005399   .0034732    -1.55   0.126     -.012375    .0015771
                  56  |  -.0014092   .0023268    -0.61   0.547    -.0060829    .0032644
                      |
                 year |
                2012  |  -.0043531   .0030465    -1.43   0.159    -.0104721    .0017659
                2014  |  -.0076221   .0040675    -1.87   0.067    -.0157918    .0005477
                2016  |  -.0108137   .0050257    -2.15   0.036    -.0209082   -.0007193
                2018  |  -.0084398   .0056887    -1.48   0.144    -.0198658    .0029862
                2020  |  -.0327284   .0061506    -5.32   0.000    -.0450823   -.0203745
                      |
                _cons |   .1998451   .0532011     3.76   0.000     .0929876    .3067027
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age >= 40, cluster(czone) 

Linear regression                               Number of obs     =    208,584
                                                F(70, 721)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0260
                                                Root MSE          =     .31945

                                         (Std. Err. adjusted for 722 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0086565   .0010874    -7.96   0.000    -.0107914   -.0065215
      cz_mean_ideo5_3 |   .0058561   .0048158     1.22   0.224    -.0035986    .0153107
             fb_share |  -.0372159    .016227    -2.29   0.022    -.0690737    -.005358
                  age |  -.0029721   .0000856   -34.74   0.000      -.00314   -.0028041
               female |   -.034653   .0017843   -19.42   0.000    -.0381561   -.0311499
              college |   .0721621   .0041158    17.53   0.000     .0640818    .0802424
                   hs |   .0360022   .0039778     9.05   0.000     .0281926    .0438117
          citizen_dum |   .0315533   .0073179     4.31   0.000     .0171863    .0459203
          income_100k |   .0329977   .0024566    13.43   0.000     .0281747    .0378207
           income_50k |   .0289415   .0020704    13.98   0.000     .0248768    .0330062
                white |  -.0252711   .0047501    -5.32   0.000    -.0345968   -.0159454
                black |  -.0653215   .0053137   -12.29   0.000    -.0757536   -.0548893
        race_hispanic |  -.0157454   .0061323    -2.57   0.010    -.0277847   -.0037061
                asian |  -.0454492   .0087813    -5.18   0.000    -.0626892   -.0282092
nohealthinsurance_dum |  -.0170369   .0028816    -5.91   0.000    -.0226943   -.0113795
            log_blood |   .0035711   .0016693     2.14   0.033     .0002939    .0068482
L1_firearm_death_rate |   .0004247   .0007944     0.53   0.593    -.0011349    .0019843
    incarcerated_rate |   .0450395   .0659675     0.68   0.495    -.0844719    .1745509
                      |
                state |
                   2  |  -.0304092    .013848    -2.20   0.028    -.0575964   -.0032219
                   4  |  -.0243004   .0062806    -3.87   0.000    -.0366309   -.0119699
                   5  |  -.0211695   .0090567    -2.34   0.020    -.0389502   -.0033888
                   6  |  -.0100758   .0071889    -1.40   0.161    -.0241894    .0040378
                   8  |  -.0279649   .0084087    -3.33   0.001    -.0444733   -.0114565
                   9  |  -.0186114    .006265    -2.97   0.003    -.0309112   -.0063117
                  10  |   .0271401   .0059619     4.55   0.000     .0154355    .0388448
                  11  |  -.0515895   .0065971    -7.82   0.000    -.0645414   -.0386377
                  12  |   .0112055   .0074887     1.50   0.135    -.0034967    .0259077
                  13  |  -.0039735   .0067596    -0.59   0.557    -.0172443    .0092972
                  15  |  -.0400231   .0092527    -4.33   0.000    -.0581885   -.0218577
                  16  |  -.0056286   .0153342    -0.37   0.714    -.0357335    .0244764
                  17  |  -.0067411   .0069824    -0.97   0.335    -.0204493    .0069672
                  18  |  -.0078699   .0079817    -0.99   0.324    -.0235401    .0078003
                  19  |  -.0004243   .0082296    -0.05   0.959    -.0165811    .0157325
                  20  |  -.0064149   .0090704    -0.71   0.480    -.0242225    .0113926
                  21  |   -.018656   .0080078    -2.33   0.020    -.0343773   -.0029347
                  22  |   .0137305   .0126002     1.09   0.276     -.011007    .0384679
                  23  |  -.0142144   .0105402    -1.35   0.178    -.0349077    .0064788
                  24  |  -.0174099   .0068618    -2.54   0.011    -.0308815   -.0039384
                  25  |  -.0165111   .0064565    -2.56   0.011    -.0291868   -.0038354
                  26  |  -.0133085   .0066653    -2.00   0.046    -.0263942   -.0002227
                  27  |  -.0058501   .0089518    -0.65   0.514    -.0234248    .0117247
                  28  |   .0010475   .0087873     0.12   0.905    -.0162042    .0182993
                  29  |  -.0057026   .0093691    -0.61   0.543    -.0240966    .0126915
                  30  |  -.0097565   .0105099    -0.93   0.354      -.03039    .0108771
                  31  |   .0182043   .0195684     0.93   0.353    -.0202135     .056622
                  32  |  -.0143066   .0074178    -1.93   0.054    -.0288696    .0002564
                  33  |  -.0084521   .0078856    -1.07   0.284    -.0239336    .0070294
                  34  |  -.0214952   .0105136    -2.04   0.041    -.0421361   -.0008543
                  35  |  -.0332829   .0087557    -3.80   0.000    -.0504725   -.0160933
                  36  |  -.0051491   .0067361    -0.76   0.445    -.0183738    .0080757
                  37  |  -.0060582    .008464    -0.72   0.474    -.0226753    .0105588
                  38  |   .0110303   .0152454     0.72   0.470    -.0189003    .0409609
                  39  |  -.0175197   .0078741    -2.22   0.026    -.0329785   -.0020608
                  40  |  -.0129031   .0110213    -1.17   0.242    -.0345408    .0087347
                  41  |  -.0150448   .0090767    -1.66   0.098    -.0328647     .002775
                  42  |  -.0167673   .0074563    -2.25   0.025     -.031406   -.0021286
                  44  |   -.002027   .0061944    -0.33   0.744    -.0141883    .0101342
                  45  |    .005681    .009524     0.60   0.551     -.013017     .024379
                  46  |   .0026509   .0204557     0.13   0.897     -.037509    .0428108
                  47  |  -.0131831    .012246    -1.08   0.282    -.0372252     .010859
                  48  |  -.0101688   .0074821    -1.36   0.175     -.024858    .0045205
                  49  |   .0224002   .0077299     2.90   0.004     .0072244     .037576
                  50  |  -.0077289   .0175839    -0.44   0.660    -.0422506    .0267929
                  51  |   -.006123   .0090279    -0.68   0.498    -.0238472    .0116012
                  53  |   -.008764   .0071168    -1.23   0.219    -.0227361     .005208
                  54  |  -.0289437    .009815    -2.95   0.003    -.0482132   -.0096743
                  55  |  -.0097345   .0105643    -0.92   0.357    -.0304749    .0110059
                  56  |   -.001459   .0153763    -0.09   0.924    -.0316465    .0287286
                      |
                 year |
                2012  |  -.0061715   .0023406    -2.64   0.009    -.0107667   -.0015763
                2014  |  -.0105135   .0024401    -4.31   0.000    -.0153041    -.005723
                2016  |   -.014864   .0027266    -5.45   0.000    -.0202171   -.0095109
                2018  |  -.0124703   .0030273    -4.12   0.000    -.0184136    -.006527
                2020  |  -.0377599   .0028118   -13.43   0.000    -.0432803   -.0322395
                      |
                _cons |   .2544946   .0211184    12.05   0.000     .2130336    .2959555
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age >= 40, cluster(czone) 

Linear regression                               Number of obs     =    208,584
                                                F(71, 721)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0262
                                                Root MSE          =     .31941

                                         (Std. Err. adjusted for 722 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0089852   .0010766    -8.35   0.000    -.0110988   -.0068717
              ideo5_3 |   .0046443    .000778     5.97   0.000     .0031169    .0061717
      cz_mean_ideo5_3 |   .0018773   .0047547     0.39   0.693    -.0074575     .011212
             fb_share |  -.0401854   .0159299    -2.52   0.012    -.0714599   -.0089109
                  age |  -.0030106   .0000859   -35.04   0.000    -.0031792   -.0028419
               female |  -.0336296   .0017873   -18.82   0.000    -.0371385   -.0301208
              college |   .0738556   .0041013    18.01   0.000     .0658037    .0819075
                   hs |   .0361894   .0039772     9.10   0.000     .0283812    .0439976
          citizen_dum |    .030429   .0073017     4.17   0.000     .0160938    .0447642
          income_100k |   .0321263   .0024224    13.26   0.000     .0273704    .0368821
           income_50k |   .0284402    .002064    13.78   0.000     .0243881    .0324923
                white |  -.0246629   .0047618    -5.18   0.000    -.0340116   -.0153143
                black |  -.0629839   .0053881   -11.69   0.000    -.0735622   -.0524057
        race_hispanic |  -.0148245   .0061376    -2.42   0.016    -.0268742   -.0027748
                asian |  -.0452551   .0087616    -5.17   0.000    -.0624565   -.0280538
nohealthinsurance_dum |  -.0170349   .0028793    -5.92   0.000    -.0226877   -.0113822
            log_blood |   .0039028     .00165     2.37   0.018     .0006635    .0071421
L1_firearm_death_rate |   .0004525   .0007943     0.57   0.569    -.0011069    .0020119
    incarcerated_rate |   .0440541   .0660714     0.67   0.505    -.0856612    .1737694
                      |
                state |
                   2  |  -.0292885   .0138411    -2.12   0.035     -.056462   -.0021149
                   4  |  -.0232803   .0062377    -3.73   0.000    -.0355266    -.011034
                   5  |  -.0205077   .0090079    -2.28   0.023    -.0381925   -.0028228
                   6  |   -.008779    .007125    -1.23   0.218    -.0227672    .0052091
                   8  |  -.0272385   .0083409    -3.27   0.001    -.0436138   -.0108631
                   9  |  -.0174029   .0062147    -2.80   0.005     -.029604   -.0052017
                  10  |    .028277   .0059353     4.76   0.000     .0166244    .0399296
                  11  |  -.0498038   .0065712    -7.58   0.000    -.0627047   -.0369029
                  12  |   .0121613   .0074475     1.63   0.103      -.00246    .0267827
                  13  |  -.0036946   .0067094    -0.55   0.582     -.016867    .0094777
                  15  |  -.0381881   .0091407    -4.18   0.000    -.0561336   -.0202426
                  16  |  -.0048093    .015331    -0.31   0.754    -.0349079    .0252894
                  17  |  -.0061773   .0069599    -0.89   0.375    -.0198414    .0074868
                  18  |  -.0072722   .0079361    -0.92   0.360    -.0228528    .0083083
                  19  |    .000445   .0081873     0.05   0.957    -.0156289    .0165189
                  20  |   -.005579   .0090201    -0.62   0.536    -.0232877    .0121297
                  21  |  -.0181545   .0079719    -2.28   0.023    -.0338055   -.0025035
                  22  |   .0137206   .0126261     1.09   0.278    -.0110677    .0385089
                  23  |  -.0131414   .0105257    -1.25   0.212     -.033806    .0075232
                  24  |  -.0169278   .0068542    -2.47   0.014    -.0303845   -.0034712
                  25  |  -.0155466   .0064158    -2.42   0.016    -.0281425   -.0029506
                  26  |  -.0125832   .0066206    -1.90   0.058    -.0255812    .0004149
                  27  |  -.0049713   .0089658    -0.55   0.579    -.0225735     .012631
                  28  |   .0010026   .0087348     0.11   0.909     -.016146    .0181512
                  29  |  -.0051998   .0092856    -0.56   0.576    -.0234299    .0130303
                  30  |  -.0087588    .010486    -0.84   0.404    -.0293455     .011828
                  31  |   .0188288   .0197019     0.96   0.340    -.0198511    .0575087
                  32  |  -.0128471   .0074067    -1.73   0.083    -.0273884    .0016941
                  33  |  -.0073221   .0078627    -0.93   0.352    -.0227587    .0081145
                  34  |  -.0206664    .010409    -1.99   0.047     -.041102   -.0002308
                  35  |  -.0321478   .0087648    -3.67   0.000    -.0493555   -.0149401
                  36  |  -.0042215   .0066902    -0.63   0.528     -.017356     .008913
                  37  |   -.005519   .0084375    -0.65   0.513    -.0220839     .011046
                  38  |   .0120456    .015246     0.79   0.430    -.0178862    .0419774
                  39  |  -.0168793   .0078382    -2.15   0.032    -.0322678   -.0014909
                  40  |  -.0123895   .0109175    -1.13   0.257    -.0338234    .0090444
                  41  |  -.0135974   .0089986    -1.51   0.131    -.0312641    .0040692
                  42  |  -.0161128   .0074199    -2.17   0.030      -.03068   -.0015455
                  44  |  -.0006436   .0061586    -0.10   0.917    -.0127346    .0114474
                  45  |   .0058522   .0095016     0.62   0.538     -.012802    .0245064
                  46  |   .0034818   .0205876     0.17   0.866     -.036937    .0439006
                  47  |  -.0126053   .0122821    -1.03   0.305    -.0367181    .0115076
                  48  |  -.0096481    .007425    -1.30   0.194    -.0242253    .0049291
                  49  |   .0232876    .007636     3.05   0.002     .0082961     .038279
                  50  |  -.0061862    .017356    -0.36   0.722    -.0402606    .0278882
                  51  |  -.0057627   .0090038    -0.64   0.522    -.0234395    .0119141
                  53  |  -.0076373   .0070366    -1.09   0.278     -.021452    .0061774
                  54  |  -.0280457   .0098313    -2.85   0.004    -.0473471   -.0087443
                  55  |  -.0089506   .0104502    -0.86   0.392    -.0294671    .0115659
                  56  |  -.0005165   .0153241    -0.03   0.973    -.0306018    .0295687
                      |
                 year |
                2012  |  -.0060967   .0023442    -2.60   0.009     -.010699   -.0014945
                2014  |  -.0104541   .0024416    -4.28   0.000    -.0152475   -.0056607
                2016  |  -.0148597   .0027279    -5.45   0.000    -.0202152   -.0095042
                2018  |  -.0125641   .0030289    -4.15   0.000    -.0185106   -.0066175
                2020  |   -.037848   .0028064   -13.49   0.000    -.0433576   -.0323384
                      |
                _cons |   .2532671   .0210189    12.05   0.000     .2120016    .2945326
---------------------------------------------------------------------------------------
(est8 stored)

.  
. esttab using "Table2.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ideo5
> _3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_dum 
> log_blood L1_firearm_death_rate incarcerated_rate ) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_i
> deo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k no
> healthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate ) nonotes se(3) b(3) replace 
> star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *yea
> r*") 
(note: file Table2.tex not found)
(output written to Table2.tex)

. 
. * Figure 1: Variation in Regional Ideological Polarization Over Time
. 
. bysort state year: egen avg_dist_st_ideo5_3 = mean(dist_st_ideo5_3)
(9419 missing values generated)

. bysort state year: gen n = _n

. 
. graph box avg_dist_st_ideo5_3 if year > 2007 & year < 2020 & n == 1, ///
>  box(1, color(maroon)) over(year) marker(1, msymbol(circle_hollow) msize(vsmall) mcolor(maroon)) gr
> aphregion(color(white) margin(small)) ytitle("Average Ideological Distance, within State")

. 
. graph save "Figure1.gph", replace
(note: file Figure1.gph not found)
(file Figure1.gph saved)

. graph export "Figure1.pdf", replace
(file /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/Figure1.pdf written
>  in PDF format)

. 
. * Figure 4: Probability of Blood Donation, by Ideological Viewpoint
. 
. xi: probit donate_blood i.ideo5_3 
i.ideo5_3         _Iideo5_3_1-5       (naturally coded; _Iideo5_3_1 omitted)

Iteration 0:   log likelihood = -108565.65  
Iteration 1:   log likelihood = -108538.19  
Iteration 2:   log likelihood = -108538.18  

Probit regression                               Number of obs     =    278,254
                                                LR chi2(4)        =      54.94
                                                Prob > chi2       =     0.0000
Log likelihood = -108538.18                     Pseudo R2         =     0.0003

------------------------------------------------------------------------------
donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _Iideo5_3_2 |   .0239658   .0114494     2.09   0.036     .0015255    .0464061
 _Iideo5_3_3 |   .0485691    .010564     4.60   0.000      .027864    .0692741
 _Iideo5_3_4 |   .0281337   .0110335     2.55   0.011     .0065084     .049759
 _Iideo5_3_5 |  -.0187063   .0125067    -1.50   0.135    -.0432189    .0058064
       _cons |  -1.142098   .0091925  -124.24   0.000    -1.160115   -1.124081
------------------------------------------------------------------------------

. margins, over(ideo5_3)

Predictive margins                              Number of obs     =    278,254
Model VCE    : OIM

Expression   : Pr(donate_blood), predict()
over         : ideo5_3

------------------------------------------------------------------------------------
                   |            Delta-method
                   |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
           ideo5_3 |
     Very liberal  |   .1267067   .0019103    66.33   0.000     .1229626    .1304508
          Liberal  |   .1317553   .0014573    90.41   0.000      .128899    .1346116
         Moderate  |   .1370809   .0011421   120.03   0.000     .1348424    .1393193
     Conservative  |   .1326473    .001309   101.34   0.000     .1300817    .1352128
Very conservative  |   .1228608   .0017247    71.24   0.000     .1194804    .1262412
------------------------------------------------------------------------------------

. marginsplot, x(ideo5_3) plot1opts(mcolor(maroon) mlcolor(maroon) lpattern(dot) lwidth(none)) ci1opt
> s(lcolor(maroon)) ///
>         addplot(hist ideo5_3, xlab(, valuelabel) xtitle("") barwidth(0.5) fcolor(none) lcolor(gs5) 
> yaxis(2) ylabel(0(2)6, axis(2)) yscale(alt axis(2)) ytitle("Ideology (Density)", axis(2))) ytitle("
> Pr (Donate blood)", color(maroon)) level(95) legend(off) ///
>         title("") plotregion(fcolor(white)) graphregion(fcolor(white))

  Variables that uniquely identify margins: ideo5_3

.         
. graph save "Figure4.gph", replace
(note: file Figure4.gph not found)
(file Figure4.gph saved)

. graph export "Figure4.pdf", replace
(file /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/Figure4.pdf written
>  in PDF format)

. 
. * Figure 2: Trend in Blood Donation Over Time
. 
. svyset [pweight = weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: mean donate_blood, over(year)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1               Number of obs   =    296,813
Number of PSUs   = 296,813               Population size = 297,821.68
                                         Design df       =    296,812

---------------------------------------------------------------------
                    |             Linearized
                    |       Mean   Std. Err.     [95% Conf. Interval]
--------------------+------------------------------------------------
c.donate_blood@year |
              2010  |   .1399887    .002437      .1352124    .1447651
              2012  |   .1414398   .0025913      .1363608    .1465187
              2014  |   .1415748   .0023921      .1368864    .1462632
              2016  |   .1318868    .002007      .1279532    .1358204
              2018  |   .1240138   .0019126      .1202651    .1277625
              2020  |    .095322   .0017193      .0919523    .0986918
---------------------------------------------------------------------

. 
. matrix mean = e(b)'

. svmat mean

. 
. matrix V = e(V)   

. matrix Var = vecdiag(V)'

. svmat Var

. 
. keep mean* Var*

. 
. gen year = (1004+_n)*2

. 
. replace mean1 = round(mean1*100,.1)
(6 real changes made)

. 
. keep if _n < 7
(541,168 observations deleted)

. 
. gen mean_u = mean1+sqrt(Var1)*1.96*100

. gen mean_l = mean1-sqrt(Var1)*1.96*100

. 
. graph twoway (bar mean1 year, color(gs6)) (rcap mean_u mean_l year) ///
>  (scatter mean1 year, msymbol(none) mlabel(mean1) mlabposition(6) mlabgap(0.2cm) mlabsize(medsmall)
>  mlabcolor(black)), ///
>  legend(off) ylabel(0(5)20) graphregion(color(white) margin(small)) xtitle("Year") ytitle("Blood do
> nation (%)")

. 
. graph save "Figure2.gph", replace 
(note: file Figure2.gph not found)
(file Figure2.gph saved)

. graph export "Figure2.pdf", replace 
(file /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/Figure2.pdf written
>  in PDF format)

. 
. 
. use "KimPelc_Blood_Respondi_PoP.dta", clear

. 
. ********************************************
. ******** Tables 3-4 and Figures 5-6 ********
. ********************************************
. 
. * Table 3: Subjective Social Diversity and Blood Donation
. 
. eststo clear

. 
. eststo: reg blood political_minority , cluster(state)

Linear regression                               Number of obs     =      3,505
                                                F(1, 49)          =      15.41
                                                Prob > F          =     0.0003
                                                R-squared         =     0.0082
                                                Root MSE          =     3.2391

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1232213   .0313846    -3.93   0.000    -.1862909   -.0601516
             _cons |   3.598568   .1408898    25.54   0.000     3.315439    3.881696
------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg blood race_minority , cluster(state)

Linear regression                               Number of obs     =      3,505
                                                F(1, 49)          =       0.02
                                                Prob > F          =     0.8760
                                                R-squared         =     0.0000
                                                Root MSE          =     3.2524

                                  (Std. Err. adjusted for 50 clusters in state)
-------------------------------------------------------------------------------
              |               Robust
blood_donat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
race_minority |  -.0056387   .0359546    -0.16   0.876    -.0778922    .0666148
        _cons |   3.132234   .1205367    25.99   0.000     2.890006    3.374461
-------------------------------------------------------------------------------
(est2 stored)

. eststo: reg blood political_minority race_minority , cluster(state)

Linear regression                               Number of obs     =      3,505
                                                F(2, 49)          =      14.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0085
                                                Root MSE          =     3.2391

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1286999   .0280645    -4.59   0.000    -.1850977    -.072302
     race_minority |   .0254711   .0321631     0.79   0.432     -.039163    .0901053
             _cons |   3.548504   .1809194    19.61   0.000     3.184933    3.912076
------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg blood political_minority race_minority ideology college hs female age citizen_us white 
> black asian hispanic log_center firearm_death_rate incarcerated_rate, cluster(state)

Linear regression                               Number of obs     =      3,489
                                                F(15, 49)         =      57.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0799
                                                Root MSE          =     3.1245

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1333711    .025447    -5.24   0.000    -.1845088   -.0822334
     race_minority |   .0294317   .0289397     1.02   0.314    -.0287247    .0875881
          ideology |  -.0126576    .023363    -0.54   0.590    -.0596073    .0342921
      college_grad |   2.152747   .3012775     7.15   0.000     1.547307    2.758187
                hs |   1.477515   .2842077     5.20   0.000     .9063784    2.048652
            female |  -.1871151   .0832506    -2.25   0.029    -.3544135   -.0198167
               age |  -.0472693     .00364   -12.99   0.000    -.0545842   -.0399543
        citizen_us |   .3416982   .1220518     2.80   0.007     .0964259    .5869706
             white |    .235338    .238864     0.99   0.329    -.2446773    .7153533
             black |  -.1591166   .2750539    -0.58   0.566     -.711858    .3936248
             asian |  -.2226523   .2901319    -0.77   0.447    -.8056941    .3603896
          hispanic |    .082745   .2174691     0.38   0.705    -.3542756    .5197655
        log_center |   .0566329   .0882909     0.64   0.524    -.1207943    .2340601
firearm_death_rate |   .0759111   .0661886     1.15   0.257    -.0570999    .2089221
 incarcerated_rate |   5.560799   3.821068     1.46   0.152    -2.117924    13.23952
             _cons |    3.66463   .4073429     9.00   0.000     2.846044    4.483216
------------------------------------------------------------------------------------
(est4 stored)

. eststo: reg blood political_minority race_minority ideology college hs female age income_100k incom
> e_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate, cluste
> r(state)

Linear regression                               Number of obs     =      3,369
                                                F(17, 49)         =      65.71
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0857
                                                Root MSE          =     3.1275

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1359815    .025711    -5.29   0.000    -.1876497   -.0843133
     race_minority |   .0323509   .0305554     1.06   0.295    -.0290526    .0937543
          ideology |  -.0115639   .0239907    -0.48   0.632     -.059775    .0366473
      college_grad |   1.901823   .3430394     5.54   0.000      1.21246    2.591187
                hs |   1.339489   .3221111     4.16   0.000     .6921829    1.986796
            female |  -.1963332   .0774148    -2.54   0.014     -.351904   -.0407624
               age |  -.0475531   .0038496   -12.35   0.000    -.0552891   -.0398171
       income_100k |   .5056132    .126607     3.99   0.000     .2511868    .7600396
        income_50k |   .2911572   .1199675     2.43   0.019     .0500735    .5322408
        citizen_us |   .2929504   .1352039     2.17   0.035      .021248    .5646528
             white |   .2419551   .2458613     0.98   0.330    -.2521216    .7360318
             black |   -.114616   .2951142    -0.39   0.699    -.7076702    .4784383
             asian |  -.2821544   .3017052    -0.94   0.354    -.8884536    .3241449
          hispanic |   .0944293   .2153811     0.44   0.663    -.3383953    .5272539
        log_center |   .0630186   .0853745     0.74   0.464    -.1085479    .2345851
firearm_death_rate |   .0894106   .0661435     1.35   0.183    -.0435098    .2223309
 incarcerated_rate |   7.312123   3.890791     1.88   0.066     -.506713    15.13096
             _cons |   3.698839   .4256448     8.69   0.000     2.843474    4.554204
------------------------------------------------------------------------------------
(est5 stored)

. eststo: xi: reg blood political_minority race_minority ideology college hs female age income_100k i
> ncome_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate i.s
> tate , cluster(state) 
i.state           _Istate_1-50        (_Istate_1 for state==Alabama omitted)

Linear regression                               Number of obs     =      3,369
                                                F(16, 49)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1019
                                                Root MSE          =     3.1225

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1355364   .0263819    -5.14   0.000    -.1885528     -.08252
     race_minority |   .0292644   .0317104     0.92   0.361    -.0344599    .0929888
          ideology |  -.0219168   .0249631    -0.88   0.384     -.072082    .0282483
      college_grad |   1.997816   .3500091     5.71   0.000     1.294446    2.701186
                hs |   1.418732   .3285828     4.32   0.000     .7584197    2.079043
            female |  -.2219325   .0810083    -2.74   0.009    -.3847248   -.0591403
               age |  -.0470528   .0039951   -11.78   0.000    -.0550813   -.0390243
       income_100k |   .5340894   .1369762     3.90   0.000     .2588255    .8093534
        income_50k |    .298868   .1207717     2.47   0.017     .0561681    .5415679
        citizen_us |   .2805463   .1381474     2.03   0.048     .0029288    .5581639
             white |   .2029725   .2456576     0.83   0.413     -.290695      .69664
             black |  -.1999553   .2921135    -0.68   0.497    -.7869793    .3870687
             asian |  -.2296271   .3077611    -0.75   0.459    -.8480961     .388842
          hispanic |   .0684595   .2179881     0.31   0.755     -.369604    .5065229
        log_center |   .0429588     .08291     0.52   0.607    -.1236551    .2095727
firearm_death_rate |   .0856265   .0611906     1.40   0.168    -.0373407    .2085936
 incarcerated_rate |   5.262661   3.725984     1.41   0.164    -2.224984    12.75031
         _Istate_2 |  -2.760213   .1389878   -19.86   0.000    -3.039519   -2.480906
         _Istate_3 |  -.1921826   .1302205    -1.48   0.146    -.4538704    .0695053
         _Istate_4 |   .4696585   .0836101     5.62   0.000     .3016377    .6376792
         _Istate_5 |   -.697761   .1563655    -4.46   0.000    -1.011989   -.3835328
         _Istate_6 |  -.3884359   .0856491    -4.54   0.000    -.5605542   -.2163176
         _Istate_7 |  -.8035043   .0817153    -9.83   0.000    -.9677172   -.6392913
         _Istate_8 |  -1.892436   .0881965   -21.46   0.000    -2.069673   -1.715198
         _Istate_9 |  -.2733082   .0938299    -2.91   0.005    -.4618664     -.08475
        _Istate_10 |  -.1859452   .0915307    -2.03   0.048    -.3698831   -.0020074
        _Istate_11 |  -.4768257   .1911812    -2.49   0.016    -.8610187   -.0926327
        _Istate_12 |  -.4709126   .0815366    -5.78   0.000    -.6347665   -.3070587
        _Istate_13 |  -.4703964   .1535755    -3.06   0.004    -.7790178    -.161775
        _Istate_14 |  -.4688214   .0527102    -8.89   0.000    -.5747465   -.3628963
        _Istate_15 |  -1.015879   .0865742   -11.73   0.000    -1.189856   -.8419019
        _Istate_16 |  -.8555003   .0790189   -10.83   0.000    -1.014295   -.6967059
        _Istate_17 |  -.5580481   .0800141    -6.97   0.000    -.7188425   -.3972537
        _Istate_18 |   .3887421   .0792061     4.91   0.000     .2295714    .5479128
        _Istate_19 |  -.3636988   .0943698    -3.85   0.000    -.5533421   -.1740555
        _Istate_20 |  -.3780726   .1062908    -3.56   0.001     -.591672   -.1644731
        _Istate_21 |  -.7845884   .1034825    -7.58   0.000    -.9925442   -.5766326
        _Istate_22 |  -.8859645   .0835837   -10.60   0.000    -1.053932   -.7179968
        _Istate_23 |  -1.136605   .1073824   -10.58   0.000    -1.352398   -.9208121
        _Istate_24 |   .9451538   .0696694    13.57   0.000     .8051479     1.08516
        _Istate_25 |  -.8506781   .0970298    -8.77   0.000    -1.045667   -.6556895
        _Istate_26 |  -.9060811   .0869826   -10.42   0.000    -1.080879    -.731283
        _Istate_27 |  -.9280372   .0863769   -10.74   0.000    -1.101618   -.7544563
        _Istate_28 |   .1823614   .1137351     1.60   0.115    -.0461978    .4109205
        _Istate_29 |  -.0400829   .0816447    -0.49   0.626     -.204154    .1239882
        _Istate_30 |  -.7880981    .086208    -9.14   0.000    -.9613395   -.6148567
        _Istate_31 |  -1.143352    .103107   -11.09   0.000    -1.350553   -.9361503
        _Istate_32 |  -.7252275    .097415    -7.44   0.000    -.9209903   -.5294647
        _Istate_33 |  -1.230127   .0499176   -24.64   0.000     -1.33044   -1.129814
        _Istate_34 |   1.467806   .0838322    17.51   0.000     1.299339    1.636274
        _Istate_35 |  -.6981772   .0735985    -9.49   0.000    -.8460789   -.5502755
        _Istate_36 |  -.4496256   .0667906    -6.73   0.000    -.5838464   -.3154049
        _Istate_37 |  -.6643084   .0820763    -8.09   0.000     -.829247   -.4993698
        _Istate_38 |  -.5709061   .0887533    -6.43   0.000    -.7492624   -.3925497
        _Istate_39 |  -1.297639   .0817608   -15.87   0.000    -1.461944   -1.133335
        _Istate_40 |   .4136422   .0420373     9.84   0.000      .329165    .4981193
        _Istate_41 |   .8771187   .1630488     5.38   0.000     .5494599    1.204778
        _Istate_42 |  -.4324154   .0687539    -6.29   0.000    -.5705816   -.2942493
        _Istate_43 |  -.3506036   .1210394    -2.90   0.006    -.5938414   -.1073658
        _Istate_44 |   .1197689    .095426     1.26   0.215    -.0719968    .3115347
        _Istate_45 |   .3194743   .1135241     2.81   0.007     .0913391    .5476095
        _Istate_46 |  -.7247729   .0650248   -11.15   0.000    -.8554451   -.5941008
        _Istate_47 |  -1.004237   .1165638    -8.62   0.000     -1.23848   -.7699931
        _Istate_48 |  -.0237759   .0868702    -0.27   0.785    -.1983481    .1507962
        _Istate_49 |  -1.219624   .0604671   -20.17   0.000    -1.341137   -1.098111
        _Istate_50 |  -1.140203   .1228596    -9.28   0.000    -1.387099   -.8933072
             _cons |   4.269257   .4491395     9.51   0.000     3.366677    5.171837
------------------------------------------------------------------------------------
(est6 stored)

. 
. esttab using "Table3.tex", label keep(political_minority race_minority ideology college hs female a
> ge income_100k income_50k citizen_us white black asian hispanic log_center firearm_death_rate incar
> cerated_rate) order(political_minority race_minority ideology college hs female age income_100k inc
> ome_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate) nono
> tes se(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvar // addnotes("Standard e
> rrors in parentheses." 
(note: file Table3.tex not found)
(output written to Table3.tex)

. 
. * Table 4: Subjective Social Diversity and Blood Donation, by Age
. 
. eststo clear

. eststo: reg blood political_minority ideology college hs female age income_100k income_50k citizen_
> us white black asian hispanic log_center firearm_death_rate incarcerated_rate if age < 40, cluster(
> state)

Linear regression                               Number of obs     =      1,172
                                                F(16, 48)         =      20.06
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0642
                                                Root MSE          =       3.23

                                       (Std. Err. adjusted for 49 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1837997   .0464154    -3.96   0.000    -.2771241   -.0904753
          ideology |  -.0418592   .0292063    -1.43   0.158    -.1005824     .016864
      college_grad |   2.604359   .3840373     6.78   0.000       1.8322    3.376518
                hs |   1.985346   .3938162     5.04   0.000     1.193526    2.777167
            female |  -.3667396   .1791654    -2.05   0.046    -.7269757   -.0065035
               age |  -.0092629   .0137304    -0.67   0.503    -.0368697    .0183438
       income_100k |   .3487539   .2412417     1.45   0.155    -.1362951    .8338029
        income_50k |   .0853466   .2084097     0.41   0.684    -.3336891    .5043824
        citizen_us |   .2843707   .1764435     1.61   0.114    -.0703927     .639134
             white |   .5361955   .3448821     1.55   0.127    -.1572364    1.229628
             black |   .0568954   .3518755     0.16   0.872    -.6505977    .7643885
             asian |   .0583602    .390346     0.15   0.882    -.7264831    .8432034
          hispanic |  -.0511301   .2444285    -0.21   0.835    -.5425866    .4403264
        log_center |   .1711459    .137831     1.24   0.220    -.1059819    .4482736
firearm_death_rate |   .1230021   .1010811     1.22   0.230    -.0802351    .3262394
 incarcerated_rate |   12.55947   9.276737     1.35   0.182    -6.092658     31.2116
             _cons |   2.121788   .5352542     3.96   0.000     1.045587    3.197988
------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg blood race_minority ideology college hs female age income_100k income_50k citizen_us wh
> ite black asian hispanic log_center firearm_death_rate incarcerated_rate if age < 40, cluster(state
> )

Linear regression                               Number of obs     =      1,172
                                                F(16, 48)         =      18.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0471
                                                Root MSE          =     3.2594

                                       (Std. Err. adjusted for 49 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     race_minority |  -.0344886   .0518826    -0.66   0.509    -.1388056    .0698283
          ideology |  -.0199954   .0286151    -0.70   0.488    -.0775299     .037539
      college_grad |   2.895814   .3808118     7.60   0.000     2.130141    3.661487
                hs |   2.226177   .3840465     5.80   0.000        1.454    2.998355
            female |  -.3068057   .1825029    -1.68   0.099    -.6737524    .0601409
               age |   -.007371   .0138449    -0.53   0.597    -.0352079     .020466
       income_100k |    .439745   .2373229     1.85   0.070    -.0374246    .9169146
        income_50k |   .1408111   .2083028     0.68   0.502    -.2780098     .559632
        citizen_us |   .4083892   .1711434     2.39   0.021     .0642823    .7524962
             white |   .5557913   .3803212     1.46   0.150    -.2088957    1.320478
             black |   .1961537   .3726601     0.53   0.601    -.5531296     .945437
             asian |   .1555057   .4133132     0.38   0.708    -.6755162    .9865276
          hispanic |  -.0608987   .2623983    -0.23   0.817    -.5884859    .4666885
        log_center |   .2013343   .1317175     1.53   0.133    -.0635014    .4661701
firearm_death_rate |   .1269439   .1098495     1.16   0.254    -.0939233    .3478111
 incarcerated_rate |   11.82051      9.125     1.30   0.201    -6.526535    30.16755
             _cons |   .8482566   .5670275     1.50   0.141    -.2918287    1.988342
------------------------------------------------------------------------------------
(est2 stored)

. eststo: reg blood political_minority race_minority ideology college hs female age income_100k incom
> e_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate if age 
> < 40, cluster(state)

Linear regression                               Number of obs     =      1,172
                                                F(17, 48)         =      19.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0642
                                                Root MSE          =     3.2314

                                       (Std. Err. adjusted for 49 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1849245   .0426851    -4.33   0.000    -.2707486   -.0991003
     race_minority |   .0058908   .0494511     0.12   0.906    -.0935372    .1053189
          ideology |    -.04225   .0301164    -1.40   0.167    -.1028031    .0183032
      college_grad |   2.602922   .3853201     6.76   0.000     1.828184     3.37766
                hs |   1.984847   .3930787     5.05   0.000     1.194509    2.775185
            female |  -.3651576   .1803626    -2.02   0.048    -.7278009   -.0025143
               age |  -.0093091    .013716    -0.68   0.501    -.0368869    .0182687
       income_100k |   .3492425   .2408655     1.45   0.154    -.1350499     .833535
        income_50k |   .0840307   .2081439     0.40   0.688    -.3344707    .5025321
        citizen_us |   .2844549   .1769118     1.61   0.114    -.0712502      .64016
             white |   .5443203   .3576204     1.52   0.135    -.1747237    1.263364
             black |   .0604552   .3621116     0.17   0.868    -.6676191    .7885294
             asian |   .0541063   .3892146     0.14   0.890    -.7284621    .8366747
          hispanic |  -.0546049   .2522249    -0.22   0.830     -.561737    .4525273
        log_center |   .1706773   .1360116     1.25   0.216    -.1027924     .444147
firearm_death_rate |   .1234867   .1007835     1.23   0.226    -.0791522    .3261255
 incarcerated_rate |    12.5793   9.192964     1.37   0.178    -5.904397    31.06299
             _cons |   2.108262   .5862879     3.60   0.001     .9294511    3.287073
------------------------------------------------------------------------------------
(est3 stored)

. eststo: xi: reg blood political_minority race_minority ideology college hs female age income_100k i
> ncome_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate i.s
> tate  if age < 40, cluster(state) 
i.state           _Istate_1-50        (_Istate_1 for state==Alabama omitted)
note: _Istate_50 omitted because of collinearity

Linear regression                               Number of obs     =      1,172
                                                F(16, 48)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1091
                                                Root MSE          =     3.2207

                                       (Std. Err. adjusted for 49 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1760856   .0439284    -4.01   0.000    -.2644095   -.0877616
     race_minority |   .0014715   .0556327     0.03   0.979    -.1103856    .1133286
          ideology |  -.0507246    .031143    -1.63   0.110    -.1133419    .0118927
      college_grad |   2.712668   .4157044     6.53   0.000     1.876838    3.548498
                hs |   2.108347   .4259177     4.95   0.000     1.251982    2.964712
            female |  -.4366347   .1848057    -2.36   0.022    -.8082114   -.0650579
               age |  -.0121453    .014747    -0.82   0.414     -.041796    .0175055
       income_100k |   .4810519   .2775948     1.73   0.090    -.0770898    1.039194
        income_50k |   .1341185   .2154397     0.62   0.537    -.2990521    .5672891
        citizen_us |   .2854062   .1931861     1.48   0.146    -.1030205     .673833
             white |   .6485727   .3931896     1.65   0.106    -.1419881    1.439133
             black |   .1953492   .3741623     0.52   0.604    -.5569546    .9476531
             asian |   .1725807   .4176127     0.41   0.681    -.6670859    1.012247
          hispanic |  -.2846116   .2872577    -0.99   0.327    -.8621819    .2929587
        log_center |   .1001364   .1550008     0.65   0.521    -.2115135    .4117864
firearm_death_rate |   .1102717   .1048377     1.05   0.298    -.1005187    .3210621
 incarcerated_rate |    9.85323   9.139941     1.08   0.286    -8.523854    28.23031
         _Istate_2 |  -1.858364   .3105752    -5.98   0.000    -2.482817   -1.233911
         _Istate_3 |   .2160296   .2997686     0.72   0.475    -.3866955    .8187548
         _Istate_4 |  -.4495118    .194381    -2.31   0.025    -.8403409   -.0586826
         _Istate_5 |  -.3286847   .2885975    -1.14   0.260    -.9089489    .2515795
         _Istate_6 |   .6266086   .2103318     2.98   0.005     .2037082    1.049509
         _Istate_7 |   -1.84563    .211963    -8.71   0.000     -2.27181    -1.41945
         _Istate_8 |  -2.490886   .4186132    -5.95   0.000    -3.332564   -1.649207
         _Istate_9 |   .0015898   .2090847     0.01   0.994    -.4188032    .4219828
        _Istate_10 |  -.4080269   .2319701    -1.76   0.085     -.874434    .0583802
        _Istate_11 |   1.166212   .3651532     3.19   0.002     .4320223    1.900402
        _Istate_12 |  -1.420909    .420438    -3.38   0.001    -2.266257   -.5755619
        _Istate_13 |  -.3603359   .3542574    -1.02   0.314    -1.072618    .3519464
        _Istate_14 |  -.0035339   .1648941    -0.02   0.983    -.3350757     .328008
        _Istate_15 |  -.1638533   .2320349    -0.71   0.484    -.6303907     .302684
        _Istate_16 |    -.17666   .1567382    -1.13   0.265    -.4918032    .1384832
        _Istate_17 |   -1.09443    .217488    -5.03   0.000    -1.531719   -.6571416
        _Istate_18 |    .269958   .2451186     1.10   0.276     -.222886     .762802
        _Istate_19 |  -.6615643   .2125515    -3.11   0.003    -1.088928   -.2342009
        _Istate_20 |  -.7706014   .2812102    -2.74   0.009    -1.336012   -.2051904
        _Istate_21 |  -.4474329    .234847    -1.91   0.063    -.9196244    .0247586
        _Istate_22 |   -.942412   .2247548    -4.19   0.000    -1.394312   -.4905121
        _Istate_23 |  -1.629035   .2436408    -6.69   0.000    -2.118907   -1.139162
        _Istate_24 |   2.412301   .1979513    12.19   0.000     2.014293    2.810309
        _Istate_25 |  -.5081547   .2350542    -2.16   0.036    -.9807629   -.0355466
        _Istate_26 |  -.4726684   .2582026    -1.83   0.073    -.9918196    .0464828
        _Istate_27 |  -.1968757   .2581223    -0.76   0.449    -.7158654     .322114
        _Istate_28 |   .0407938   .3445537     0.12   0.906    -.6519779    .7335655
        _Istate_29 |   .8955363   .2516973     3.56   0.001     .3894649    1.401608
        _Istate_30 |   .0543083   .2446519     0.22   0.825    -.4375973     .546214
        _Istate_31 |  -1.927575   .2590826    -7.44   0.000    -2.448495   -1.406654
        _Istate_32 |  -.5275016   .2654618    -1.99   0.053    -1.061248    .0062451
        _Istate_33 |  -1.217745   .1122048   -10.85   0.000    -1.443348   -.9921423
        _Istate_34 |   1.324534   .3431695     3.86   0.000     .6345452    2.014522
        _Istate_35 |  -1.504438   .2249873    -6.69   0.000    -1.956805   -1.052071
        _Istate_36 |  -.9413313   .1224103    -7.69   0.000    -1.187454   -.6952089
        _Istate_37 |   .1548613   .2516456     0.62   0.541    -.3511061    .6608287
        _Istate_38 |  -.9811761   .2390529    -4.10   0.000    -1.461824   -.5005281
        _Istate_39 |  -3.543927   .2394624   -14.80   0.000    -4.025398   -3.062455
        _Istate_40 |    .579164   .1382068     4.19   0.000     .3012806    .8570475
        _Istate_41 |   2.559131   .1831706    13.97   0.000     2.190842     2.92742
        _Istate_42 |   .9188006   .1707019     5.38   0.000     .5755815     1.26202
        _Istate_43 |   .0445307   .2794426     0.16   0.874    -.5173262    .6063876
        _Istate_44 |   .6328721   .1843032     3.43   0.001     .2623057    1.003439
        _Istate_45 |  -1.520246   .3879475    -3.92   0.000    -2.300266    -.740225
        _Istate_46 |   -.913657   .2200919    -4.15   0.000    -1.356181   -.4711327
        _Istate_47 |  -1.130436   .2741139    -4.12   0.000    -1.681579   -.5792929
        _Istate_48 |  -1.928974   .2114172    -9.12   0.000    -2.354057   -1.503892
        _Istate_49 |  -.9934838   .1199584    -8.28   0.000    -1.234676   -.7522912
        _Istate_50 |          0  (omitted)
             _cons |   2.492266   .7083693     3.52   0.001     1.067994    3.916538
------------------------------------------------------------------------------------
(est4 stored)

. 
. eststo: reg blood political_minority ideology college hs female age income_100k income_50k citizen_
> us white black asian hispanic log_center firearm_death_rate incarcerated_rate if age >= 40, cluster
> (state)

Linear regression                               Number of obs     =      2,197
                                                F(16, 49)         =      23.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0664
                                                Root MSE          =     3.0651

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.0916295   .0286346    -3.20   0.002    -.1491728   -.0340862
          ideology |   .0029016   .0277645     0.10   0.917    -.0528934    .0586965
      college_grad |   .8455653   .5395405     1.57   0.124    -.2386818    1.929812
                hs |    .405313    .556773     0.73   0.470    -.7135642     1.52419
            female |  -.0405795   .1063517    -0.38   0.704    -.2543013    .1731423
               age |  -.0584885   .0064668    -9.04   0.000    -.0714841    -.045493
       income_100k |   .5236035   .1618643     3.23   0.002      .198325    .8488821
        income_50k |   .3390438   .1228614     2.76   0.008     .0921446     .585943
        citizen_us |   .2348211   .2281927     1.03   0.309    -.2237494    .6933916
             white |  -.1498667    .426461    -0.35   0.727    -1.006872    .7071387
             black |  -.3881307   .4626394    -0.84   0.406     -1.31784     .541578
             asian |  -.6100443   .5573366    -1.09   0.279    -1.730054    .5099654
          hispanic |   .2831908   .3757285     0.75   0.455    -.4718639    1.038245
        log_center |   .0042541   .0874235     0.05   0.961      -.17143    .1799383
firearm_death_rate |   .0702297   .0797371     0.88   0.383    -.0900079    .2304673
 incarcerated_rate |   5.155351    4.06333     1.27   0.211    -3.010217    13.32092
             _cons |   5.583704   .6961068     8.02   0.000     4.184825    6.982583
------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg blood race_minority ideology college hs female age income_100k income_50k citizen_us wh
> ite black asian hispanic log_center firearm_death_rate incarcerated_rate if age >= 40, cluster(stat
> e)

Linear regression                               Number of obs     =      2,197
                                                F(16, 49)         =      24.54
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0623
                                                Root MSE          =     3.0718

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     race_minority |   .0157179     .03303     0.48   0.636    -.0506583    .0820941
          ideology |    .016932    .027701     0.61   0.544    -.0387352    .0725992
      college_grad |   .9376919   .5601346     1.67   0.100    -.1879407    2.063325
                hs |   .5026573   .5736401     0.88   0.385    -.6501157     1.65543
            female |  -.0205572   .1077049    -0.19   0.849    -.2369982    .1958838
               age |  -.0580085   .0066921    -8.67   0.000    -.0714567   -.0445602
       income_100k |    .566222   .1593729     3.55   0.001     .2459502    .8864938
        income_50k |   .3538607   .1239635     2.85   0.006     .1047468    .6029746
        citizen_us |   .2969575   .2323784     1.28   0.207    -.1700243    .7639394
             white |  -.1182694   .4391705    -0.27   0.789    -1.000816    .7642768
             black |  -.3211095   .4686394    -0.69   0.496    -1.262876    .6206567
             asian |  -.6195403   .5519109    -1.12   0.267    -1.728647    .4895662
          hispanic |   .3513518   .3716964     0.95   0.349       -.3956    1.098304
        log_center |   .0150386   .0836628     0.18   0.858    -.1530882    .1831653
firearm_death_rate |   .0701402    .079195     0.89   0.380    -.0890082    .2292886
 incarcerated_rate |   5.633511   4.239779     1.33   0.190    -2.886644    14.15367
             _cons |   4.870051   .7354806     6.62   0.000     3.392047    6.348054
------------------------------------------------------------------------------------
(est6 stored)

. eststo: reg blood political_minority race_minority ideology college hs female age income_100k incom
> e_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate if age 
> >= 40, cluster(state)

Linear regression                               Number of obs     =      2,197
                                                F(17, 49)         =      23.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0672
                                                Root MSE          =     3.0645

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1029737   .0282047    -3.65   0.001    -.1596531   -.0462943
     race_minority |    .045407   .0311686     1.46   0.152    -.0172286    .1080426
          ideology |  -.0001226   .0289123    -0.00   0.997    -.0582241    .0579789
      college_grad |   .8354319   .5392509     1.55   0.128    -.2482333    1.919097
                hs |   .3977607   .5562723     0.72   0.478    -.7201103    1.515632
            female |  -.0322821   .1061143    -0.30   0.762    -.2455268    .1809625
               age |  -.0584955   .0064606    -9.05   0.000    -.0714785   -.0455125
       income_100k |   .5292858    .162677     3.25   0.002     .2023741    .8561975
        income_50k |   .3378124   .1235081     2.74   0.009     .0896135    .5860112
        citizen_us |   .2354916   .2284718     1.03   0.308    -.2236397    .6946229
             white |  -.0832402   .4367961    -0.19   0.850    -.9610148    .7945344
             black |   -.360451   .4643424    -0.78   0.441    -1.293582    .5726799
             asian |  -.6507144   .5493718    -1.18   0.242    -1.754718    .4532897
          hispanic |   .2520825   .3691239     0.68   0.498    -.4896997    .9938647
        log_center |  -.0060808   .0863793    -0.07   0.944    -.1796664    .1675048
firearm_death_rate |   .0692106   .0788647     0.88   0.384     -.089274    .2276952
 incarcerated_rate |    4.81785    4.16862     1.16   0.253    -3.559305      13.195
             _cons |   5.477732   .6953749     7.88   0.000     4.080324     6.87514
------------------------------------------------------------------------------------
(est7 stored)

. eststo: xi: reg blood political_minority race_minority ideology college hs female age income_100k i
> ncome_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate i.s
> tate  if age >= 40, cluster(state) 
i.state           _Istate_1-50        (_Istate_1 for state==Alabama omitted)

Linear regression                               Number of obs     =      2,197
                                                F(16, 49)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0893
                                                Root MSE          =     3.0626

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1027615   .0281717    -3.65   0.001    -.1593746   -.0461483
     race_minority |   .0436029   .0310648     1.40   0.167    -.0188242    .1060299
          ideology |  -.0127537   .0309053    -0.41   0.682    -.0748602    .0493527
      college_grad |   .9012659   .6089038     1.48   0.145     -.322372    2.124904
                hs |   .4268459   .6219882     0.69   0.496    -.8230863    1.676778
            female |  -.0525852   .1060106    -0.50   0.622    -.2656215     .160451
               age |  -.0574116   .0067333    -8.53   0.000    -.0709426   -.0438805
       income_100k |   .5616047   .1708167     3.29   0.002     .2183358    .9048736
        income_50k |   .3409775   .1214568     2.81   0.007     .0969009    .5850542
        citizen_us |   .2170147   .2395228     0.91   0.369    -.2643244    .6983539
             white |  -.2004883   .4334814    -0.46   0.646    -1.071602    .6706252
             black |  -.5643188   .4581326    -1.23   0.224    -1.484971     .356333
             asian |   -.625919   .5550859    -1.13   0.265    -1.741406    .4895678
          hispanic |   .3378902   .3780765     0.89   0.376     -.421883    1.097663
        log_center |   .0040967    .088984     0.05   0.963    -.1747233    .1829167
firearm_death_rate |   .0552569   .0876958     0.63   0.532    -.1209745    .2314882
 incarcerated_rate |   2.923273   4.101333     0.71   0.479    -5.318665    11.16521
         _Istate_2 |  -3.524665   .2038628   -17.29   0.000    -3.934343   -3.114988
         _Istate_3 |  -.2199896   .1222046    -1.80   0.078    -.4655691    .0255898
         _Istate_4 |   .7849546   .1092907     7.18   0.000     .5653268    1.004582
         _Istate_5 |  -.8422528   .1743864    -4.83   0.000    -1.192695   -.4918102
         _Istate_6 |  -1.175125   .0829496   -14.17   0.000    -1.341818   -1.008431
         _Istate_7 |  -.1954626    .081188    -2.41   0.020     -.358616   -.0323093
         _Istate_8 |  -1.664357   .0866853   -19.20   0.000    -1.838557   -1.490156
         _Istate_9 |  -.2814275   .0897203    -3.14   0.003    -.4617272   -.1011277
        _Istate_10 |   .0256489   .1024907     0.25   0.803    -.1803138    .2316116
        _Istate_11 |  -.9517315    .283621    -3.36   0.002    -1.521689   -.3817738
        _Istate_12 |  -.0295917   .1015208    -0.29   0.772    -.2336054     .174422
        _Istate_13 |  -.4076347   .1385869    -2.94   0.005    -.6861354    -.129134
        _Istate_14 |  -.6069034   .0728981    -8.33   0.000    -.7533976   -.4604093
        _Istate_15 |  -1.392312   .1142276   -12.19   0.000    -1.621861   -1.162763
        _Istate_16 |  -1.252031   .0947995   -13.21   0.000    -1.442537   -1.061524
        _Istate_17 |  -.3001169   .0927719    -3.23   0.002    -.4865491   -.1136847
        _Istate_18 |   .4112246    .099807     4.12   0.000     .2106548    .6117943
        _Istate_19 |   .2115298   .1345951     1.57   0.122    -.0589491    .4820087
        _Istate_20 |  -.1903462   .0879592    -2.16   0.035    -.3671068   -.0135856
        _Istate_21 |  -1.080678   .1043053   -10.36   0.000    -1.290287   -.8710686
        _Istate_22 |  -.6673114   .0762133    -8.76   0.000    -.8204679    -.514155
        _Istate_23 |  -.7320006   .0973363    -7.52   0.000    -.9276052    -.536396
        _Istate_24 |   .0831252   .0608858     1.37   0.178    -.0392295    .2054798
        _Istate_25 |  -.9328963   .0982237    -9.50   0.000    -1.130284   -.7355084
        _Istate_26 |  -.8486073    .111595    -7.60   0.000    -1.072866   -.6243489
        _Istate_27 |  -1.148127    .110219   -10.42   0.000     -1.36962   -.9266334
        _Istate_28 |   .4151312   .1163617     3.57   0.001     .1812936    .6489688
        _Istate_29 |  -.1918813   .0957647    -2.00   0.051    -.3843278    .0005651
        _Istate_30 |  -.9194366   .0720496   -12.76   0.000    -1.064226   -.7746474
        _Istate_31 |  -.9250859   .2034829    -4.55   0.000       -1.334   -.5161717
        _Istate_32 |  -.7359439   .0881501    -8.35   0.000    -.9130882   -.5587997
        _Istate_33 |  -1.177793   .0661312   -17.81   0.000    -1.310689   -1.044898
        _Istate_34 |   1.937927   .1355562    14.30   0.000     1.665516    2.210337
        _Istate_35 |  -.2946138   .0711001    -4.14   0.000    -.4374949   -.1517327
        _Istate_36 |   -.083378   .1429275    -0.58   0.562    -.3706016    .2038455
        _Istate_37 |  -.9924893   .0965891   -10.28   0.000    -1.186592   -.7983863
        _Istate_38 |   -.337699   .0917158    -3.68   0.001    -.5220088   -.1533892
        _Istate_39 |  -.3153127   .1041236    -3.03   0.004    -.5245569   -.1060686
        _Istate_40 |   .3702606   .0635261     5.83   0.000     .2426002    .4979211
        _Istate_41 |  -.4204012   .1961421    -2.14   0.037    -.8145636   -.0262388
        _Istate_42 |  -1.003393   .0958112   -10.47   0.000    -1.195933    -.810853
        _Istate_43 |  -.5187964   .1228662    -4.22   0.000    -.7657053   -.2718876
        _Istate_44 |  -.2961152   .0930785    -3.18   0.003    -.4831635   -.1090668
        _Istate_45 |   .7624048   .1361308     5.60   0.000     .4888397     1.03597
        _Istate_46 |  -.5668326   .0572034    -9.91   0.000     -.681787   -.4518781
        _Istate_47 |  -.9473893   .1061153    -8.93   0.000    -1.160636   -.7341427
        _Istate_48 |   1.031497   .1152841     8.95   0.000     .7998244    1.263169
        _Istate_49 |  -1.254767    .083648   -15.00   0.000    -1.422864    -1.08667
        _Istate_50 |  -1.079162    .157128    -6.87   0.000    -1.394923   -.7634019
             _cons |    6.09202   .7961404     7.65   0.000     4.492116    7.691924
------------------------------------------------------------------------------------
(est8 stored)

. 
. esttab using "Table4.tex", label keep(political_minority race_minority ideology college hs female a
> ge income_100k income_50k citizen_us white black asian hispanic log_center firearm_death_rate incar
> cerated_rate) order(political_minority race_minority ideology college hs female age income_100k inc
> ome_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate) nono
> tes se(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvar // addnotes("Standard e
> rrors in parentheses." 
(note: file Table4.tex not found)
(output written to Table4.tex)

. 
. * Figure 5: Respondents’ beliefs about how common their political / racial identity are in their ar
> ea (0 = “highly common”, 10 = “highly uncommon”)
. 
. histogram political_minority, fcolor(gs13) lcolor(black) barwidth(0.5) ylabel(0(0.2)0.8) xlabel(0(1
> )10) ///
>         xtitle("") title("Self-Perception as Political Minority in Region", size(medsmall) color(bl
> ack)) ///
>         plotregion(fcolor(white)) graphregion(fcolor(white)) ysize(3) xsize(3) plotregion(lcolor(bl
> ack))
(bin=35, start=0, width=.28571429)

.         
. graph save "Figure5a.gph", replace
(note: file Figure5a.gph not found)
(file Figure5a.gph saved)

. graph export "Figure5a.pdf", replace
(file /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/Figure5a.pdf writte
> n in PDF format)

. 
. histogram race_minority, fcolor(gs13) lcolor(black) barwidth(0.5) ylabel(0(0.2)0.8) xlabel(0(1)10) 
> ///
>         xtitle("") title("Self-Perception as Political Minority in Region", size(medsmall) color(bl
> ack)) ///
>         plotregion(fcolor(white)) graphregion(fcolor(white)) ysize(3) xsize(3) plotregion(lcolor(bl
> ack))
(bin=35, start=0, width=.28571429)

. 
. graph save "Figure5b.gph", replace
(note: file Figure5b.gph not found)
(file Figure5b.gph saved)

. graph export "Figure5b.pdf", replace
(file /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/Figure5b.pdf writte
> n in PDF format)

. 
. * Figure 6: Coefficient Plots for the Effects of Subjective Social Diversity and Ideology
. 
. areg blood political_minority race_minority ideology college hs female age income_100k income_50k c
> itizen_us white black asian hispanic log_center, cluster(state) abs(state)

Linear regression, absorbing indicators         Number of obs     =      3,369
Absorbed variable: state                        No. of categories =         50
                                                F(  15,     49)   =      47.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1010
                                                Adj R-squared     =     0.0836
                                                Root MSE          =     3.1232

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1363195   .0265779    -5.13   0.000    -.1897299   -.0829092
     race_minority |   .0299665   .0316782     0.95   0.349    -.0336933    .0936263
          ideology |  -.0220414   .0250455    -0.88   0.383    -.0723723    .0282894
      college_grad |    1.99169   .3492384     5.70   0.000     1.289869    2.693511
                hs |   1.415112   .3278463     4.32   0.000     .7562799    2.073943
            female |  -.2248391   .0810375    -2.77   0.008    -.3876901   -.0619881
               age |  -.0470764   .0040136   -11.73   0.000     -.055142   -.0390108
       income_100k |   .5280988   .1374799     3.84   0.000     .2518226     .804375
        income_50k |   .2971591   .1211728     2.45   0.018     .0536531    .5406651
        citizen_us |   .2880035   .1374682     2.10   0.041     .0117507    .5642562
             white |   .1992867   .2439322     0.82   0.418    -.2909135    .6894869
             black |  -.1907953   .2923625    -0.65   0.517    -.7783199    .3967292
             asian |  -.2293784   .3059252    -0.75   0.457    -.8441582    .3854013
          hispanic |   .0658935   .2206525     0.30   0.766    -.3775243    .5093113
        log_center |   .0319062   .0828027     0.39   0.702     -.134492    .1983044
             _cons |   3.792874   .4450104     8.52   0.000     2.898593    4.687156
------------------------------------------------------------------------------------

. estimates store all

. 
. areg blood political_minority race_minority ideology college hs female age income_100k income_50k c
> itizen_us white black asian hispanic log_center if age < 40, cluster(state) abs(state)

Linear regression, absorbing indicators         Number of obs     =      1,172
Absorbed variable: state                        No. of categories =         49
                                                F(  15,     48)   =      10.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1073
                                                Adj R-squared     =     0.0566
                                                Root MSE          =     3.2210

                                       (Std. Err. adjusted for 49 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1757631   .0443944    -3.96   0.000     -.265024   -.0865021
     race_minority |   .0000621   .0556435     0.00   0.999    -.1118166    .1119407
          ideology |  -.0482724   .0318453    -1.52   0.136    -.1123017    .0157569
      college_grad |   2.681611   .4047308     6.63   0.000     1.867845    3.495377
                hs |   2.091717   .4195048     4.99   0.000     1.248246    2.935188
            female |  -.4363133   .1858099    -2.35   0.023    -.8099092   -.0627174
               age |   -.010871   .0147695    -0.74   0.465     -.040567    .0188251
       income_100k |    .476071   .2750306     1.73   0.090     -.076915    1.029057
        income_50k |   .1313635   .2163911     0.61   0.547      -.30372    .5664469
        citizen_us |   .2961784   .1915493     1.55   0.129    -.0889572     .681314
             white |   .6530032   .3888219     1.68   0.100    -.1287756    1.434782
             black |   .2235358   .3686559     0.61   0.547    -.5176967    .9647682
             asian |   .1760072   .4189627     0.42   0.676    -.6663737    1.018388
          hispanic |  -.2799658   .2963623    -0.94   0.350    -.8758422    .3159105
        log_center |   .0715329   .1623504     0.44   0.661    -.2548945    .3979603
             _cons |   2.173453   .7026476     3.09   0.003      .760685     3.58622
------------------------------------------------------------------------------------

. estimates store young

. 
. areg blood political_minority race_minority ideology college hs female age income_100k income_50k c
> itizen_us white black asian hispanic log_center if age >= 40, cluster(state) abs(state)

Linear regression, absorbing indicators         Number of obs     =      2,197
Absorbed variable: state                        No. of categories =         50
                                                F(  15,     49)   =      20.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0889
                                                Adj R-squared     =     0.0616
                                                Root MSE          =     3.0618

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1037064   .0282842    -3.67   0.001    -.1605456   -.0468672
     race_minority |   .0445881    .031054     1.44   0.157    -.0178174    .1069935
          ideology |  -.0133668     .03112    -0.43   0.669    -.0759047    .0491711
      college_grad |   .9066999   .6126935     1.48   0.145    -.3245537    2.137954
                hs |   .4331378   .6251216     0.69   0.492     -.823091    1.689367
            female |  -.0543709   .1060462    -0.51   0.610    -.2674786    .1587368
               age |  -.0575709    .006724    -8.56   0.000    -.0710833   -.0440585
       income_100k |   .5559729   .1726218     3.22   0.002     .2090764    .9028694
        income_50k |   .3393889   .1218192     2.79   0.008     .0945841    .5841937
        citizen_us |   .2206056   .2390598     0.92   0.361    -.2598031    .7010143
             white |  -.2068517   .4302595    -0.48   0.633    -1.071491    .6577871
             black |  -.5647357   .4550291    -1.24   0.220    -1.479151    .3496795
             asian |   -.628239   .5503806    -1.14   0.259     -1.73427    .4777922
          hispanic |   .3324775   .3779726     0.88   0.383    -.4270869    1.092042
        log_center |  -.0006863   .0864031    -0.01   0.994    -.1743199    .1729472
             _cons |    5.60863   .7695938     7.29   0.000     4.062074    7.155187
------------------------------------------------------------------------------------

. estimates store old

. 
. *ssc install grstyle /* in order to use the code below, grstyle should be instaled */
. 
. grstyle init

. grstyle color background white // set overall background to white

. 
. coefplot all, bylabel("Overall") ///
>   || young old, bylabel("By Age Group") ///
>   || , keep(political_minority race_minority ideology) norecycle  byopts(legend(position(5))) xline
> (0) legend(cols(3) label(2 "All") label(4 "Age < 40") label(6 "Age ≥ 40") region(lwidth(none))) sub
> title(,bcolor(white))

.   
. graph save "Figure6.gph", replace
(note: file Figure6.gph not found)
(file Figure6.gph saved)

. graph export "Figure6.pdf", as(pdf) name("Graph") replace
(file /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/Figure6.pdf written
>  in PDF format)

. 
. 
. 
. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/ KimPelc_PoP
> _log.log
  log type:  text
 closed on:   7 Dec 2023, 20:49:10
-----------------------------------------------------------------------------------------------------
